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Monthly Archives: September 2024

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Embitel’s IVI Accelerator: Hardware Independent Android Platform for In-Vehicle Infotainment System (IVI)

 

About The Customer

This solution is part of Embitel’s offerings for Automotive OEMs, Tier 1s and Third-Party Infotainment System manufacturers looking to develop highly customizable Android IVI systems.

Business Challenge

With the advent of Digitalization and Software Defined Vehicles (SDV), an updatable in-car information and media delivery system has become a necessity rather than a luxury.

As the race to introduce the most sought-after IVI system heats up, accelerating their development cycle while not compromising on quality remains an issue.

When choosing display size and hardware type, innovators have countless options. Since most IVI systems have a long product development life cycle, solutions that ensure quick time-to-market are the need of the hour.

Embitel’s Solution

To tackle the above business challenge, Embitel has developed an Android Platform Solution – Android IVI Accelerator.

  • The source code we’ve developed allows us to bring-up Android Automotive OS (AAOS) 13 on any hardware, such as Qualcomm, Rockwell, NXP, and Mediatek – making it a hardware-independent solution.
  • Using Android Interface Definition Language (AIDL) Inter-Process Communication (IPC) concepts, we can also bring up newer versions of Android on demand. This allows us to deliver Android version updates quickly.
  • Our Android IVI accelerator allows easy integration of display modules of various sizes (5”, 7”, 10” and 15”).
  • IVI system Android

  • Our solution provides a mature and quality foundation for any infotainment system, be it for a two-wheeler or a luxury car.

The IVI accelerator comes equipped with basic IVI features, mentioned below. The look and feel of the applications that deliver these features can be extensively customized to fit the requirements.

Embitel’s Android IVI Accelerator Package is equipped with the following functionalities using the microservices architecture:

  1. Phone
  2. Bluetooth
  3. Wi-Fi
  4. Media
  5. Heating, Ventilation and Air Conditioning (HVAC) Control
  6. Navigation
  7. Display
  8. Settings
  9. Camera

Our solution comes integrated with Embitel’s very own Play Store. This Play Store consists of applications that deliver the infotainment system’s features to the customer.

These applications and features are powered by Embitel’s proprietary Android Stacks. Tailor-made to maximize the platform’s functionality, our Android Stacks are powered by:

  1. Kernal/ Driver Layer Components
  2. Hardware Abstraction Layer (HAL) / Vehicle Hardware Abstraction Layer (VHAL) Components
  3. Framework Layer Components
  4. Applications Layer Components

With minimal effort and time, the above stacks and microservices can be altered to suit the requirements of any Android version. This enables a customer to integrate a custom look and feel into their IVI applications.

Testing

  • The Android IVI Accelerator is manually tested to fix bugs by our In-House Verification and Validation Team (V&V).
  • Compatibility Test Suite (CTS) and Vendor Testing Suite (VTS) will be employed to test the Android Platform’s compatibility with the IVI system hardware.

 

Embitel’s Impact

  • Embitel’s Android IVI Accelerator solution reduces the time required to develop a custom IVI by 30%, reducing time-to-market significantly.
  • The reusability of code will lead to low-cost maintenance and low development costs for future updates.
  • The scalability of the solution makes your IVI future-proof.

 

Tools and Technology

  • Android Automotive OS – 13
  • Kotlin, Java, C, C++
  • Design Patterns
  • Vehicle HAL
  • Android Studio
  • SoC (NXP – IMX8QM)
  • GIT
  • Shell / Bash
  • Linux

To know more about Embitel’s Android IVI Accelerator and see a free demo, contact us.


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Quick Order : Why this Revolutionary B2B Feature from Adobe Commerce is a Must-Have!

Time and faster order processing are critical in both B2B and B2C settings, but the urgency and reasons differ based on the nature of the transaction, the industry, and customer expectations.

That said, time is often more critical in B2B  due to the complex nature of transactions and the direct impact on business operations.

Delays in processing B2B orders can lead to operational disruptions, financial loss, and strained partnerships.

Let’s do some cause analysis:

  1. Supply Chain Dependencies: In B2B, companies often rely on timely delivery of products to maintain their own production or operations.
    For instance, a manufacturer waiting for raw materials needs them to arrive on time, or production might halt, affecting their entire supply chain.
  2. Larger Orders and Contracts: B2B transactions typically involve larger quantities, higher values, and long-term contracts.

    A delay can cause significant financial losses. For example, an automotive parts supplier failing to deliver on time could halt car production, causing millions in downtime costs.

  3. Custom Requirements: B2B orders may also involve custom specifications, making faster order processing and accurate fulfillment crucial to meet project deadlines. Any delay could affect multiple business partners or cause reputational damage.

Consider the following scenario for example. . .

A construction company that orders specialized equipment or materials for a large-scale project expects timely delivery, as any delay could push back deadlines, leading to penalties or increased costs.

This is why B2B buyers don’t browse — they buy. They know exactly what they want, and any delay in placing orders can disrupt operations, affecting everything from inventory management to production schedules.
Imagine a scenario where a procurement manager needs to replenish supplies quickly.

They’ve already identified the products, have a list of SKUs ready, and the only task remaining is to input this data and hit ‘order’. . .
Yet, the process often feels like navigating a maze — clicking through multiple product pages, adding items one by one, and waiting for search results.

This is where Quick Order, from Magento Commerce ( Now Adobe Commerce)  feature gains significance . It removes the friction, transforming bulk ordering into a seamless, time-efficient process that saves businesses from operational delays.

But how exactly does it impact all the stakeholders — businesses, store admins, and customers? Let’s dig deeper to understand.

The Challenge: Traditional B2B Ordering Woes

The standard ordering process for bulk buyers can be tedious, time-consuming, and prone to human error. Consider this: in 2021, a report by McKinsey & Company, “Reordering Process Efficiency in B2B” revealed that 42% of B2B buyers complained about slow ordering processes affecting their ability to manage inventory on time.

The manual process of placing bulk orders one item at a time, clicking through endless product pages, and configuring quantities leads to delays and mistakes.

Now, imagine a retailer needing to reorder hundreds of products.

They have the SKUs stored neatly in their ERP system, but conventional eCommerce platforms force them to go through the cumbersome task of manually finding and adding each product.

The more items to reorder, the more time wasted, which can disrupt supply chains, delay shipments, and affect productivity.

For store admins, the situation isn’t any better. Handling bulk order complaints, dealing with inaccurate SKU entries, and assisting customers with tedious cart management add to their workload, leading to inefficiency in order processing.

B2B BuyersBut what if all these pain points could be eliminated in a few clicks?.

The solution to all this revolutionary feature called Quick Order, by Magento Commerce ( now Adobe Commerce) released as parts of its B2B ecommerce solutions.

For B2B buyers, the magic lies in simplicity. They can bulk order by simply pasting a list of SKUs into the Quick Order form or even importing it directly from a CSV file. With a single click, the system reads these SKUs, matches them to the right products, and generates a ready-to-go order. Customers can also configure product variants and update quantities on the fly, reducing the need for constant back-and-forth between product pages.

In fact, a Forrester study highlighted that 74% of B2B buyers research products online before making a purchase. With the Quick Order feature, businesses no longer need to waste time browsing — they can go directly from SKU to order, drastically cutting down the time spent in checkout.

Here’s a real-world scenario: A procurement officer at a wholesale firm needs to reorder 200 different products for an upcoming promotion.

Using the Quick Order feature, they open the Quick Order page, upload their pre-arranged list of SKUs, configure quantities in seconds, and place the order. What would have previously taken hours is now completed in under 10 minutes.

For store admins, the benefits are equally compelling. They can restrict access to the Quick Order feature to select customer groups, ensuring it’s available to their high-priority B2B clients while keeping the buying experience streamlined for smaller buyers.

Admins no longer have to deal with common ordering errors and can focus on optimizing operations.

How Does Quick Order Help Boosts Revenue?

The true value of the Quick Order feature becomes apparent when considering its impact on the businesses.

Boost revenueAccording to data from the IDC, 60% of B2B organizations state that improving the customer experience is a top priority, and with the Quick Order feature, businesses can offer a faster and more seamless experience, encouraging repeat purchases.

In B2B eCommerce, relationships are crucial, especially when multiple stakeholders are involved. A fast, efficient, and reliable order process isn’t just about convenience—it must ensure a seamless experience for decision-makers across departments.

Multiple stakeholders, including procurement, operations, and finance teams, depend on smooth transactions to keep their own business operations running efficiently. Delays or errors can disrupt their entire supply chain. A seamless experience in B2B ecommerce reduces friction, ensures alignment across departments, and minimizes the risk of costly disruptions, ultimately leading to stronger partnerships and greater long-term profitability.

Consider this: 94% of B2B buyers are likely to buy again from companies that offer a simplified buying experience.

The Quick Order feature makes the reordering process a breeze, ensuring that businesses return to place bulk orders without hesitation.

Furthermore, B2B buyers reorder the same items frequently, and the Quick Order feature allows them to save time and reorder swiftly without having to sift through product catalogs.

This results in higher order volumes, with some businesses reporting a 25% increase in order frequency after enabling the Quick Order functionality.

From a business perspective, quicker order placement means faster order fulfillment. With less time spent navigating the buying process, customers can place more orders, leading to higher sales and increased customer satisfaction.

Consider a hypothetical scenario of a furniture supplier that sells to hotels and large corporations.

Conventionally, their procurement officers would need to spent hours searching for and ordering bulk items like tables, chairs, and storage units, causing delays in delivery schedules.

However, if they implement the Adobe Commerce’s Quick Order feature, they can :

– Upload their pre-arranged SKU lists directly from their ERP systems,
– Place orders in minutes, and drastically reduce their order-processing time by 45%.

As a result, their order accuracy will be significantly enhanced, leading to skyrocketing customer satisfaction , which will then help in increase in sales.

Embracing the Quick Commerce in B2B eCommerce

In the age of Quick Commerce, where time is money and efficiency is king, the Quick Order feature is a game-changer.

It revolutionizes how bulk orders are placed in the B2B eCommerce space, allowing businesses to place large orders with just a few clicks, saving time and reducing errors.

By enhancing the user experience for B2B buyers and giving store admins the tools they need to manage bulk orders efficiently, this feature positions businesses to thrive in a competitive eCommerce landscape.

For any business looking to step into the future of B2B eCommerce, embracing Quick Commerce through the Quick Order feature is not just an option — it’s a necessity.

If you are keen to implement quick order feature into your B2B website, our digital experts are just a click away. Sign Up for a quick demo today !


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From Data to Decisions: Customer Journey Analytics to Master Customer Experience

Category : ecommerce-insights

 

In today’s digital era, data is a map that guides businesses on the road to success. Customer Journey Analytics stands at the forefront of this revolution, transforming raw data into actionable insights.

It’s not only about tracking customer interactions but also about understanding the story and user’s point of view behind each click, call, and purchase. By harnessing the power of cross-channel analytics, businesses can anticipate needs, customise experiences, and make informed decisions that put the customer at the centre of every journey.

But this is not an easy task to achieve.

Enterprises face numerous types of problems while streamlining and using the data and analytics available at their end. Let us look at them in detail.

Current Challenges in Customer Journey Analytics for Businesses

  • Complex web of channels: Enterprises struggle to track customer interactions across multiple platforms, making it difficult to understand the customer journey fully.
  • Monitoring user behaviour: Capturing and analysing user behaviour across different channels and devices is a significant challenge due to the sheer volume of data and potential for siloed information.
  • Predictive analysis: Moving from reactive to proactive customer journey mapping through predictive analytics is becoming essential for anticipating future customer behaviours and preferences.
  • Integration of technologies: There’s a need for a unified platform that can consolidate data from various sources to provide a comprehensive view of the customer journey.
  • Evolving customer expectations: Keeping up with the changing demands and preferences of customers requires continuous adaptation and evolution of analytics strategies.

What is Customer Journey Analytics?

Customer Journey Analytics (CJA) is a strategy that provides businesses with deep insights into their customers’ behaviours and experiences across various channels, both online and offline.

Customer Journey Analytics.png

Customer Journey Analytics is an application in Adobe Experience Cloud suite of products. It leverages the power of data to create a comprehensive view of the customer’s journey. This helps organizations to understand and optimize the customer experience at every touchpoint.

Who Can Benefit from Adobe Customer Journey Analytics?

Adobe CJA benefits various teams across the product lifecycle in enterprises. It is like a one-stop solution for all data analytics problems.

For Marketing Executives:

  • Gain real-time insights into customer behaviour across all channels.
  • Make data-driven decisions to optimize marketing strategies and increase ROI.

For Data Analysts:

  • Access AI-driven insights for improved segmentation and attribution.
  • Map relationships between customer interactions.
  • Utilize anomaly detection to take swift action on misjudged events.

For IT Professionals:

  • Integrate data from both online and offline channels with ease.
  • Benefit from a flexible data model that’s not bound to traditional schemas.
  • Ensure data governance and adherence to privacy regulations.

For Customer Experience Managers:

  • Create more connected customer journeys with end-to-end visualization.
  • Discover new, high-value customers using real-time insights.
  • Apply AI to everyday tasks to improve customer engagement.

For Sales Teams:

  • Utilize comprehensive customer profiles to tailor sales strategies.
  • Quickly identify and target potential high-value customer segments.

For Executives:

  • Monitor business performance with real-time snapshots available on mobile devices.
  • Share and schedule reports easily across teams for informed decision-making.

Capabilities of Adobe Customer Journey Analytics

The below-mentioned features of customer journey analytics proves that they are not only advanced but also one of its kind in the market today.

  1. Cross-Channel Data Integration: It allows the integration of data from multiple sources, including online and offline channels, to provide a comprehensive view of the customer journey.
  2. Real-Time Analysis: Offers real-time analysis capabilities to track customer movements across different touchpoints.
  3. Advanced Visualization: Enables users to visualize the entire customer journey, making it easier to identify trends and patterns.
  4. AI and Machine Learning: Utilizes advanced AI and machine learning to uncover deep insights into customer behaviour and preferences.
  5. Data Ingestion and Transformation: Can ingest data from various systems like digital platforms, call centres, IoT devices, and more, using a flexible data schema.
  6. Analysis Workspace: Features a robust workspace for analysing multichannel data and building customer segments for targeted marketing efforts.
  7. Privacy-Ready Profiles: Ensures that customer profiles are managed in compliance with privacy regulations, which is crucial for businesses handling sensitive data.
  8. Accessible Insights: Makes insights accessible across the organization, enabling different teams to work together towards a unified customer experience strategy.
  9. Customer Value Discovery: Helps in identifying the most valuable customers by analysing their journey and engagement levels.

 

Difference Between Adobe Analytics and Customer Journey Analytics

Although Adobe Analytics and Customer Journey Analytics come under Adobe Experience Cloud solutions, there are certain capabilities that sets them apart from each other. Let us look into the details below.

  1. Data Collection
  2. Customer Journey Analytics utilizes data stored in Adobe Experience Platform datasets, allowing for a variety of data collection and usage options.

    Adobe Analytics primarily focuses on online data collected from websites and mobile apps, with capabilities to import data from other sources to provide context around online data.

  3. Data Processing
  4. Customer Journey Analytics is built to handle data when it’s time to create reports. It has strong features that process the data at this time, making sure it’s prepared for reporting and analysis.

    On the other hand, Adobe Analytics starts working on the data right after it’s collected, with the majority of data processing happening early on.

  5. Terminology and Metrics
  6. CJA allows you to customize, categorize and measure data based on your preferences because the foundation is based on Experience Data Model (XDM) schemas. These schemas allow the integration of data across various systems, enabling a unified view of customer insights and behaviours.

    Adobe Analytics sticks to classic web analytics language, referring to website traffic as visitors, visits, and hits. In contrast, CJA refers to these as persons, sessions, and events, respectively.

  7. Integration and Usage
  8. Adobe Analytics data can be integrated into Customer Journey Analytics using the Analytics source connector. This tool takes Adobe Analytics data and puts it into the Experience Platform so that you can use it in CJA.

    Customer Journey Analytics offers a broader view of the customer journey by considering various data sources beyond online channels.

  9. Features and Capabilities
  10. Adobe Analytics provides real-time data collection and segmentation, simplified tag management, multi-channel data collection, and advanced audience segmentation among other features.

    CJA’s features are tilted towards providing a holistic view of the customer journey, with capabilities to handle large and diverse datasets.

  11. Strengths
  12. Adobe Analytics is known for its robust report builder, automated anomaly detection, customizable segmentation, and visibility across online channels and devices.

    The strength of Customer Journey Analytics is that it works smoothly with the larger Adobe Experience Platform and can easily adapt to different kinds of data.

    Adobe Analytics is best suited for businesses focused on detailed online channel analytics, while Customer Journey Analytics is ideal for those looking to analyse the customer journey across a wider range of data sources and touchpoints.

How Can I Use Customer Journey Analytics?

Imagine you are on a road trip, that’s your customer journey now. Customer Journey Analytics is like having a super cool GPS that shows not just the route but also the mood of the driver, the best pit stops, and even where the bumps are. It starts with a map, but not the old-school paper kind. This one is a digital masterpiece showing every twist and turn of a customer’s adventure with a brand. It’s about connecting the dots between different data points to get the full picture.

Then, it’s all about picking the right tools, kind of like choosing the best snacks for the ride. These tools munch on data from places like websites, customer chats, feedback forms – you name it. They help you figure out what customers love and what makes them want to take a detour. The real magic happens when all this info is broken down to show what’s making the trip memorable and what’s just a pothole on the road.

With these nuggets of wisdom, businesses can tweak the journey, making sure it’s seamless all the way to the destination. It’s about making every interaction feel like the highlight of the trip, personalized just like your favourite travel playlist.

  • Customer Journey Analytics extends beyond the essential, it serves as the analytical interface for all data within the Adobe Experience Platform data repository, leveraging Analysis Workspace’s robustness without being confined to just web and app data like Adobe Analytics.
  • Customer Journey Analytics, in association with Adobe Experience Platform, can integrate various data types, including Adobe solution data, first-party customer data, and other platform data from systems like CRM and POS (Point of Sale). This integration allows organisations to construct a comprehensive view of customer interactions across devices and channels.
  • CJA empowers organisations to conduct analysis with countless variables, events, and values from diverse data sources, which are not limited to predefined data schemas. Moreover, CJA’s analytical capabilities is boosted by its compatibility with other Adobe tools like RTCDP (Real Time Customer Data Platform), enabling advanced use cases with specially crafted audiences.
  • Customer Journey Analytics can handle personally identifiable information and is compliant with HIPAA (Health Insurance Portability and Accountability Act) standards.

What Kind of Reports Does Customer Journey Analytics Generate?

Customer journey analytics can produce a variety of reports that help businesses understand the customer experience and optimize their marketing strategies.

Here are some types of reports that can be generated:

  • Journey Reports: These reports track the stages a contact or deal goes through, detailing the steps required to move to the next stage and ultimately convert. They help in understanding the effectiveness of each interaction within the customer’s journey.
  • Attribution Reports: Here the reports identify which touchpoints, events, products, or campaigns have led to successful conversions, providing insights into what drives customer decisions. This helps in allocating marketing resources effectively.
  • Conversion Analysis: By analysing the conversion rates at different stages of the customer journey, businesses can identify where they are losing potential customers and take steps to improve those areas.
  • Funnel Analysis: This type of report shows how customers move through a sales funnel, from awareness to consideration to decision, and helps in pointing out bottlenecks in the sales process.
  • Segmentation Reports: Customer journey analytics can segment customers based on their behaviour, demographics or other criteria allowing for more targeted and personalized marketing efforts.
  • Path Analysis: The analysis shows the most common pathways customers take, highlighting the customer flows that lead to conversions and those that do not.
  • Trend Analysis: This evaluation can track changes in customer behaviour over time, helping businesses to adapt their strategies to evolving customer needs.
  • Engagement Reports: The report measures how customers interact with various touchpoints, such as website visits, email opens, and social media engagement, providing a comprehensive view of customer engagement levels.
  • Drop-off Reports: Here you can analyse where and why customers are dropping off, allowing businesses to address issues that may be causing customer attrition.
  • Heatmaps: Visual representations of where customers are clicking on a website or app can be generated to understand which areas are getting the most attention and which are being ignored.

Real-world Use Cases of Customer Journey Analytics

Adobe Customer Journey Analytics offers a multitude of real-world applications that can transform the way businesses interact with and understand their customers.

For instance, in the retail sector, CJA can optimize the mobile shopping experience by identifying why customers may download an app but not return after the initial use. This insight allows businesses to re-engage dormant users and increase the lifetime value of their mobile users.

In financial services sector, customer journey analytics can quantify the impact of features like bank transfers, enabling institutions to measure and enhance adoption rates. It also plays a crucial role in reducing customer churn by identifying at-risk customers and developing targeted retention strategies.

Another use case is in the optimization of in-store experiences. By analysing the journeys of sales associates, businesses can uncover inefficiencies and adjust processes to provide a more enjoyable shopping experience for customers, thereby improving sales response times and overall customer satisfaction.

In the healthcare industry, CJA can track patient interactions across multiple touchpoints, from appointment scheduling to post-treatment follow-ups, providing insights that can improve patient care and operational efficiency.

For media and entertainment companies, Adobe CJA can analyse viewer behaviours across different platforms to tailor content recommendations, enhance viewer engagement, and increase subscription retention.
 

How Does Customer Journey Analytics Handle Privacy and Data Security?

Customers surely get apprehensive when experiences are personalised and feel that data might be compromised. They are not wrong. It is surely a tricky terrain.

But be assured, Adobe Customer Journey Analytics is designed with a strong emphasis on privacy and data security. It ensures that customer data is handled responsibly and complies with prevailing regulations. CJA incorporates a comprehensive data governance framework that includes patented features to secure data through every step of the analytics process.

  • Data source labelling is one such feature, which allows businesses to categorise data based on sensitivity and compliance requirements. This is crucial for organisations that handle data subject to various regional and industry-specific regulations.
  • Policy creation is another aspect of the framework, facilitating the establishment of rules that align with privacy laws such as GDPR and CCPA. These policies are not just static rules but are enforced automatically, ensuring that any potential policy violations are prevented before they occur.
  • Furthermore, CJA employs role-based access controls, which are a cornerstone of its security strategy. This means that access to data within CJA is tightly controlled and can be tailored to the specific role and responsibilities of each user, minimizing the risk of unauthorized access or data breaches.
  • The system’s bot detection capabilities also enhance security by identifying and filtering out non-human traffic, which helps maintain the integrity of the data.

This shows that Adobe Customer Journey Analytics has a multifaceted approach to privacy and data security, involving data governance, encryption, access controls, and a proactive security standpoint.

How to Implement CJA Securely?

Implementing Adobe Customer Journey Analytics (CJA) securely involves a series of steps that ensure the integrity and confidentiality of data throughout the customer’s journey. When installed properly, this will do wonders for businesses in terms of growth and loyalty.

  1. Begin by setting specific goals for the use of CJA to navigate the implementation and security strategies.
  2. Develop a comprehensive data governance plan, categorising data by sensitivity and regulatory demands for proper handling and protection.
  3. Work closely with the IT security team to align with security protocols for different data categories, restricting access to sensitive data to authorised individuals only.
  4. Introduce role-based access controls to limit data access to what’s necessary for each user’s role, aiding in the prevention of unauthorised access and data breaches.
  5. Enforce automatic policy adherence to adhere to privacy regulations like GDPR (General Data Protection Regulation) and CCPA (Central Consumer Protection Authority), minimizing the risk of policy infractions.
  6. Encrypt data, both in transit using HTTPS TLS 1.2 or higher, and at rest, to safeguard against unauthorised access and breaches.
  7. Implement bot detection systems to eliminate non-human traffic, ensuring data security and integrity of analytics.
  8. Regularly perform security and compliance assessments to verify ongoing adherence to security standards, including the evaluation of access controls, encryption methods, and policy enforcement.
  9. Finally, continuous monitoring and incident response plans are vital. This involves setting up systems to detect potential security incidents in real-time and having a clear plan in place for how to respond to and mitigate any breaches that may occur.

Conclusion

This article gives us an insight into the versatility of Adobe customer journey analytics. It provides actionable insights helping businesses in various industries to not only understand their customer journeys but also make data-driven decisions that enhance customer experience and drive growth.

Connect with Embitel’s Adobe solutions experts to leverage customer journey analytics for your business success. For more information, contact our team at sales@embitel.com


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Digital Overhaul for Elevated CX and Seamless Product Discoverability for a Premium Jewellery Brand

 

About the Customer:

Many companies set out on their digital transformation journey with high hopes, but a significant number fail to deliver an exceptional customer experience (CX), which directly impacts multiple facets of their business—from sales to customer loyalty.

A poor digital experience not only frustrates customers but also causes operational inefficiencies, limits scalability, and results in recurring costs.

Our customer, a premium jewelry brand with 80+ stores across 30+ cities in India, faced the exact set of challenges when they set out on their digital transformation journey.

Business Challenge:

Despite their physical success, they struggled to offer a seamless and personalized digital experience to their online customers. Some of these key challenges were of the following nature:

  • A poor frontend customer experience.
  • Difficulty in finding relevant products and categories.
  • Operational hurdles in creating and updating product and category content.
  • Recurring high operational costs.
  • Performance issues and non-scalability.
  • Frequent payment failures.
  • Inconsistent price and inventory updates.

These issues not only hindered customer satisfaction but also limited the brand’s potential for digital growth.

Embitel Solution

Realising  the need for a comprehensive digital overhaul for the customers’ brand, our experts stepped in to deliver a customized solution that addressed these challenges head-on and unearthed new opportunities for growth and customer satisfaction.

Here is an  overview of the solution that our team delivered in various phases:

  • Seamless Migration to Magento 2.4.5: Our migration experts facilitated a smooth transition from Magento 2.3 to Magento 2.4.5, ensuring a more robust, secure, and scalable ecommerce platform.
  • Integration with WhatsApp Commerce: To enhance the brand’s omnichannel and conversational commerce capabilities, we integrated the ecommerce platform with WhatsApp. This allowed for real-time engagement and personalized customer interactions, creating a more dynamic shopping experience.
  • Enhanced Product Discovery and Browsing: We optimized the site structure and search capabilities using ‘Elasticsearch’, allowing customers to find relevant products and categories more easily. This improved both product discoverability and the overall browsing experience.
  • Improved Payment Gateway: We tackled the payment failure issue by integrating a more secure and reliable payment gateway, which significantly reduced failures and increased order success rates.
  • SEO-Friendly Platform: We ensured the new platform supported SEO best practices, helping the brand improve its online visibility and attract more organic traffic.

In addition to the above digital overhaul, the new ecommerce platform was rich with robust , state-of-the-art features:

Shop-by-Look: Enabled customers to browse products by curated looks, making the shopping experience more engaging.

Delivery Time Adjustment by Pincode: Personalized delivery options based on customer location, improving last-mile delivery.

Loyalty Programs: Integrated attractive loyalty programs to encourage repeat purchases and build customer trust.

Video Call Scheduling & Try-at-Home Option: Added convenience features that allowed customers to schedule virtual consultations or try on products from home
 

Embitel Impact :

With the expert digital intervention from our team our customer witnessed improved business performance and customer satisfaction along with :

  • Simplified Catalog Management: Product and category creation and updates became faster and more efficient.
  • Effortless Price and Inventory Updates: The admin team could to do  hassle-free updates on prices and inventory in real-time, keeping the website accurate and up-to-date.
  • Enhanced Performance: The website’s speed and reliability improved dramatically, leading to a higher order success rate.
  • Customer Trust and Loyalty: Integration of innovative features like shop-by-look and try-at-home, made sure that customers received a more personalised and trustworthy shopping experience.

 

Tools &  Technology:

  • Magento 2.4.5: Running the ecommerce platform.
  • Elasticsearch: search and analytics engine optimized for speed
  • MySQL: database management.
  • RabbitMQ: messaging and queueing solution
  • AWS: scalable cloud infrastructure.

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IoT Deep Dive: What Embitel’s Experts Are Building Next #1

Category : iot-insights

Employing Multitenant Architecture in Firmware-Over-The-Air (FOTA) Solutions

In the first edition of our new series – IoT Deep Dive: What Embitel’s Experts Are Building Next, we have a conversation with Abhijit Roy, Cloud Architect at Embitel Technologies.

Abhijit

    Q. Hi Abhijit, it’s wonderful to have you here with us today. Before we get into the tech talk, let’s get to know you. Please describe yourself in a few words.

    A. Thanks for having me here! I’m Abhijit Roy. I have been in the software industry for the past two decades. My long career in this industry has helped me explore and contribute to technology development in every phase of the Software Development Life Cycle (SDLC).

    Q. That’s impressive! Could you give us a brief insight into your current focus area?

    A. Sure, I have been working on the development of IoT cloud solutions. Recently, our team of IoT experts developed an Over-The-Air Firmware Update Accelerator Solution that is a potential game-changer for OEMs.

    As an architect, I was responsible for designing the landscape for our FOTA accelerator solution.

    Q. Before we dive into Embitel’s proprietary FOTA accelerator solution, could you explain what is FOTA and how is it changing an OEM approach to updating firmware?

    A. FOTA is a technology that allows for the remote update of firmware on devices, such as smartphones or automotive systems.

    Modern automotive OEMs often face the challenge of meeting customer demands to deliver sophisticated and user-friendly ecosystems. OEMs are relying on software packages to deliver these connected ecosystems. Since Over-The-Air (OTA) technologies enable wireless delivery of updates/upgrades, FOTA services have become increasingly important in the automotive industry.

    The automotive industry’s reliance on FOTA falls in line with the rise of connected cars and electric vehicles that rely on software to deliver various functionalities. FOTA updates include packages to update the in-vehicle infotainment system, navigation software, engine control units, and other electronic components.

    With the advent of cloud computing, the entire processing of FOTA shifted from on-premises to cloud computing servers for any automotive OEM.

    Q. How is Embitel’s FOTA Accelerator Solution contributing to the maturing of FOTA technology?

    A. By analyzing the gaps in the market mentioned above, we have developed an MVP solution that can be used by any prospective customer in the automotive domain to develop an OTA solution in half the time!

    The MVP solution primarily focuses on device provisioning, FOTA campaign creation, real-time firmware updates of millions of vehicles over a secured network, collecting telematics data, getting business insights using the telematics data, and so on.

    Q. If you’d like to discuss one concept crucial to the development of the FOTA Update Accelerator, what would it be?

    A. I would like to highlight why and how we implemented multi-tenant architecture in this solution.

    The reason why we chose to employ a multi-tenant architecture stems from our deep understanding of how an automotive OEM structures their operations and IT department.

    Q. Why did we choose to employ a multi-tenant architecture?

    A. A multi-tenant architecture allows multiple cloud customers to access the same cloud computing resource. Doing so will enable the efficient use of software and hardware resources, which in return drives down the total cost of ownership and maintenance of the solution. Let’s understand this using the example below.

    Let’s assume X is one of the OEMs who are continuously:

    • Introducing new brands of two-wheelers
    • Upgrading the existing brand to a more sophisticated version

    Now each of this brand’s customer segments is different, and so are the Operations and IT departments. Look at the image below to gain a visual understanding.

    OEM Brands

    Figure 1: OEM Brands Structure

    By employing a multi-tenant architecture Automotive OEM X can enable brands A,B, and C’s Operations and IT Departments to utilize a centralized computing power with pre-determined privileges.

    Q. Where can Embitel’s FOTA Accelerator Package be implemented in the above example? What else does multi-tenancy offer OEMs?

    A. Embitel’s FOTA accelerator solution shall be deployed at the root of the organization where any OEM has the flexibility to introduce any new service specific to a particular brand or brands. The solution provides enterprise backend along with rich UI for backend operation at different levels to manage the following:

    • Custom user roles
    • Custom users
    • Tenants
    • Services
    • Custom branding
    • Tenant-specific device provisioning
    • Tenant-specific campaign
    • Telematics data ingestion and processing

    And many more.

    Q. What lies at the core of our FOTA Accelerator Solution?

    A. The entire solution is hosted on AWS. Many AWS services have been used in the solution.

    The FOTA solution is not a SaaS-based product but a solution accelerator i.e. the entire platform can be deployed into the client environment and any further enhancement can be made at the client site.

    Q. When there are multiple tenants, how do you ensure no data is shared between each tenant?

    A. After understanding the above OEM structure, we treat each brand and its associated customer segment as an isolated tenant. This architecture enables superAdmin users at the root level of the organization to onboard a new tenant whenever they deem necessary.

    Any external entities from a specific brand, like specific operation users, vehicles/devices, mobile app users, inventory information, sales information, applications, etc are isolated from each other.

    This is done so that no other tenant has access to the data, devices, and associated applications.

    Q. How are external entities mentioned above authenticated to be onboarded in the multi-tenant architecture?

    A. Authentication and authorization are vital parts of validating external entities.

    Typically, AWS IoT devices use X.509 certificates, while mobile applications use Amazon Cognito identities. Web and desktop applications use IAM or federated identities.

    So, for mobile and web user authentication and authorization we used the AWS Cognito service.

    When onboarding a tenant, we isolate the tenant users and application using the AWS Cognito user pool and identity pool. This means, that for each tenant, there will be a completely isolated userpool and identity pool created at runtime. Any further interaction with the platform will be via a specific tenant user pool and identity pool.

    Q. How is data isolated and segregated when there are several user roles in an OEM?

    A. At the database level, we are using a multi-database approach for the entire solution.  We use RLS (Row level security) to ensure data is isolated from another tenant or tenants.

    It is a feature that allows you to control access to rows in a table based on the characteristics of the user executing the query. This means you can define policies that determine which rows of a table a particular user or role can access, thus providing a fine-grained level of security.

    RLS is particularly useful in multi-tenant applications or scenarios where data needs to be segregated based on user roles, enhancing both security and data privacy.

    Q. OEMs run on transactions; what methodology have you employed to isolate transactional data between tenants?

    A. We employ NoSQL database (MongoDB atlas) for storing transactional data. Here, we used the database per tenant strategy as a common approach in multi-tenant applications to isolate data and ensure that each tenant (customer or client) has a dedicated database.

    Q. Could you provide a high-level diagram to showcase how a single tenant operates in the multitenant architecture of our FOTA Update Accelerator?

    A. Yes, of course! The diagram below does not include deeper strategic implementations

    FOTA Update Accelerator

    Thank you for taking time out of your busy schedule for this discussion, Abhijit.

    Stay tuned for more such insightful discussions on IoT Technologies with Embitel’s experts!


  • 0

How GenAI Can Help Fix Your Product Descriptions Woes

Imagine you walk into a  retail store expecting,  a seamless experience ,where you can easily find what you are looking for.

Now, what if the labels on products are either missing, vague/misleading. You’re looking for a specific item, but the descriptions on the shelves tell you little about what’s inside the box.

You can’t tell if the shirt is made of cotton or polyester, whether the sneakers are water-resistant or not, or if the phone case fits your specific model.

Frustrating, right? . . .

This scenario mirrors the online shopping experience when ecommerce businesses fail to manage their product descriptions effectively.

Customers are left guessing, unable to make informed decisions, and naturally the trust they place in your brand starts to wane.

Just as clear and accurate signage is crucial in a physical store, a well-defined product information management strategy is essential in the digital realm.

For ecommerce businesses, the absence of this clarity isn’t just frustrating—it’s a direct threat to sales, customer satisfaction, and brand reputation.

GenAI
 

Some Data points highlighting the Product Description Woes:

  • A study by Shotfarm found that 30% of consumers have returned an online purchase due to the product not matching the description.
  • This indicates that inaccurate or misleading product descriptions directly affect customer satisfaction and increase return rates.

  • Poor product descriptions can lead to a 50% reduction in conversion rates, as highlighted by a report from InRiver. When customers can’t find the information they need, they are less likely to make a purchase.
  • ConfusedEven if you have some of the best collection and brands( if you are a multi-brand marketplace) , if the product descriptions aren’t effective enough, you still loose at the Customer Experience (CX) front.

    It’s not just about having the right products; it’s about ensuring customers can easily find, understand, and feel confident in what they’re purchasing.

    And that’s where generative AI (Gen AI) steps in, transforming how ecommerce businesses manage product information.

    But how? This is the whole crux of this blog.

    Are you too Facing these Ecommerce Product Description Woes?

    Before discussing about Gen AI’s scope in enhancing the product description, I feel that we should talk about various product description woes that our existing and potential customers have constantly raised.

    1. Inconsistency : Inconsistent product descriptions across different platforms and channels can confuse customers and erode trust.

      Inconsistent product information can lead to confusion and mistrust, causing potential customers to abandon their purchases.

      According to a report by Salsify, 87% of shoppers say that accurate, rich, and complete product content is very important to their purchasing decisions.

    2. Time-Consumption : Creating detailed and engaging product descriptions for a large catalog is time-consuming , cumbersome, and resource-intensive.
    3. SEO Optimization: Poorly optimized content fails to attract search engine traffic, limiting visibility and potential sales.

      Ecommerce businesses that optimize product descriptions for SEO can see up to a 30% increase in organic traffic, according to a study by Conductor.

      This shows how an SEO-optimisation is critical for your ecommerce sales.

    4. Language Barriers: Reaching a global audience requires translating product descriptions into multiple languages, which can be costly and error-prone.

      According to by Common Sense Advisory 75% of consumers prefer to buy products in their native language.
      And inaccurate or poor-quality translations can alienate potential customers, leading to lost sales in international markets.

    5. Maintaining Accuracy : Keeping product information up-to-date with the latest features, specifications, and availability is challenging, especially with high volumes of SKUS, and large inventory.
    6. Personalization : Generic product descriptions fail to cater to the specific needs and preferences of individual customers.

    So, How can Gen AI Can Help Address These Issues

    Gen AI emerges as an ally for ecommerce industry with  its ability to create seamless, cutomised and relevant product description closely aligned to the business requirements.

    Gen AI can swiftly generate product descriptions, titles, and bullet points, freeing up human resources for more strategic tasks while offering following value-adds:

    1. Consistent Brand Voice: By adhering to predefined style & brand , Gen AI ensures that all product descriptions align with the brand’s voice and tone.
    2. SEO Optimization: Gen AI tools can integrate SEO best practices into product descriptions, improving visibility and driving more organic traffic to ecommerce sites.
    3. Localization: Advanced Gen AI models can provide high-quality translations and cultural adaptations of product descriptions, making products accessible to a global audience.
    4. Real-Time Updates: Gen AI can be integrated with product information management (PIM) systems to provide real-time updates to product descriptions as new information becomes available.
    5. Personalized Descriptions: Gen AI can use customer data and preferences to create customized descriptions, enhancing relevance and appeal.

    Thus with the help of Gen AI, ecommerce businesses can significantly improve the efficiency and quality of their product information management, leading to a better customer experience and higher sales.

    Here at Embitel, our solution experts have created a custom tool using advanced algorithms which can ease your task of generating accurate , clean and crisp product descriptions customised to your business requirements.

    We will cover  the automated GEN AI based product description solution in detail in part 2 of this blog.
    Keen to know more about the solution? Drop an mail (slaes@embitel.com) & schedule a quick demo with our experts.


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    DoIP Protocol and PC-Based Diagnostic Tool: Enabling Vehicle Diagnostics for an Automotive Tier-1

     

    About the Customer

    Our customer is a prominent automotive Tier-1 supplier, renowned for their commitment to quality and innovation in the automotive sector. The customer specializes in developing and delivering advanced electronic control units (ECUs) for various automotive manufacturers.

    Business Challenge

    The automotive industry demands robust and reliable vehicle diagnostics and ECU reprogramming capabilities to ensure the safety, performance, and compliance of vehicles.

    Our customer faced the challenge of implementing these critical features across their ECUs for a new program. Additionally, they required a PC-based diagnostic tool to perform comprehensive vehicle diagnostics efficiently.

    The main hurdles included:

    • Identifying and integrating a reliable and proven DoIP (Diagnostics over Internet Protocol) protocol.
    • Implementing the UDS (Unified Diagnostic Services) protocol.
    • Developing a Bootloader over DoIP for secure and efficient ECU reprogramming.
    • Delivering a PC-based diagnostic tool that could be seamlessly integrated with the customer’s existing platform.

     

    Embitel’s Solution

    To address the customer’s challenges, Embitel provided a tailored solution, which included the following components:

    • Static DoIP Server and Client Protocol Stack: Delivered in a library format, this stack was designed to meet the specific requirements of the customer’s platform. It ensured reliable communication and diagnostics over IP, enabling efficient vehicle diagnostics and ECU reprogramming.
    • UDS Service Configuration: Customized as per industry standards, the UDS protocol was implemented to provide comprehensive diagnostic services across various ECUs. The required UDS services were configured.
    • DoIP Diagnostic Tool Development: A diagnostic tool was developed using Qt C++ to ensure cross-platform compatibility. This tool enabled vehicle diagnostics based on DoIP. Provided in source code format, and also compiled into an executable (.exe) format, this library allowed seamless integration with the customer’s existing diagnostic platform. It facilitated vehicle diagnostics and ECU reprogramming over DoIP.
    • DoIP-Based Bootloader: A specialized bootloader was developed to handle ECU reprogramming over DoIP. This bootloader ensured secure and efficient reprogramming, meeting the stringent requirements of automotive safety standards.
    • Automated Testing: Embitel implemented automated testing tools and methods, which significantly reduced the time required for testing while enhancing the reliability of the solution. This included both unit testing and functional testing, ensuring that the final product met all quality and performance benchmarks.
    • Unit Test and Functional Testing Reports: Comprehensive reports were provided to the customer, detailing the results of the testing phases and confirming the robustness of the solution.

    DoIP

    Embitel’s Impact

    Embitel’s solution had a significant impact on the customer’s project timeline and overall efficiency:

    • The entire solution was delivered within 8 weeks, saving the customer 50% of the time they would have otherwise required.
    • The integration of a ready-to-integrate DoIP protocol and a user-friendly diagnostic tool enhanced the efficiency of vehicle diagnostics and ECU reprogramming, contributing to faster time-to-market for the customer’s product.

     

    Tools and Technologies

    • Ethernet: Used for testing the DoIP stack and ensuring that it met all communication and diagnostic requirements.
    • Packet Injector: A validation tool used for testing various use cases, ensuring that the DoIP and UDS protocols functioned correctly under all conditions.
    • Linux Environment (X64 Architecture): The development environment that provided the necessary platform for building and testing the solution.