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EkRewards is a QR code-based loyalty and rewards platform designed to help businesses boost product reach and track engagement effectively.

"The platform reflected so seamlessly for our associates. Your efforts have brought to life a task that had been pending for over a year, and we couldn't be more grateful. The team did a great job with a quick response to the task."

Global Tire Manufacturing Company
Channel Partner Program Manager

Introduction of the App

EkRewards is a QR code-based loyalty and rewards platform designed to help businesses boost product reach, track customer loyalty, and manage reward programs through an integrated digital solution. EkRewards gives businesses the ability to increase product reach, see what their customers do, and accelerate growth through data-driven decisions and personal rewards. It creates personalized experiences for customers, agents, and mechanics while making the process of reward distribution simple and smooth. The system also tracks performance in real time and provides valuable reports, helping businesses make decisions based on clear data.


Manufacturing

Region:
India, Bangalore

Use case:
Channel Partner Incentive

Core Deliverables:

The platform includes a business dashboard on the web and a mobile application for customers. It supports QR code-based reward creation, scanning, and processing, along with a reporting and analytics system. Businesses can use it to manage customer relationships and monitor agent performance. EkRewards also comes with integration APIs and supports multiple languages, making it flexible for different industries and regions.

Applications in Industry

The EkRewards platform we see as very flexible and used in a great many industries which in turn transforms what were once traditional loyalty programs into dynamic and data-based ecosystems.

  • Retail: A retail clothing chain has implemented EkRewards which gives out immediate discounts or points to customers who scan QR codes on product labels or at checkout.
  • E-Commerce: An online electronics store has partnered with EkRewards for its mobile app where customers earn loyalty points for product reviews and scanning QR codes on delivered packages.
  • Healthcare: A pharmacy uses our EkRewards system that lets patients earn points for refilling prescriptions or buying health-related products.

Identifying the Gap

Before the implementation of solutions like EkRewards, companies in these industries had great trouble with customer loyalty and engagement.

  • Manual loyalty tracking was inefficient and error-prone. Also, a lack of personalization led to generic rewards not aligned with individual preferences.
  • Limited data visibility made it hard for businesses to study customer behavior or measure ROI.
  • This resulted in poor retention, ineffective marketing, and static brand loyalty.

AI Makes the Difference

While the report doesn’t directly mention AI, the functions suggest AI and machine learning for better user experience.

  • Predictive Analytics: AI models analyze past data to forecast customer churn and suggest early interventions.
  • Personalized Rewards: Machine learning segments customers by preference and behavior to deliver tailored offers.
  • Automated Insights: AI generates real-time dashboards to monitor product performance and campaign engagement.
  • Adaptive Engagement: The system adjusts rewards dynamically based on real-time behavior, improving retention.

Output Impact

The introduction of an AI-powered platform like EkRewards delivers large-scale results as detailed in the document's key results.

  • Higher Customer Retention
  • Improved ROI for Businesses
  • Enhanced Operational Efficiency

Conclusion

The EkRewards platform has brought a large shift in how businesses handle customer loyalty. By combining QR codes with AI insights, it goes beyond punch cards to offer live, personalized engagement. This helps businesses not just retain customers, but also outperform competition through innovation and data-driven strategies.

Ready to Keep Customers Coming Back?

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