Technology Category
- Analytics & Modeling - Machine Learning
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Consumer Goods
- Retail
Applicable Functions
- Procurement
- Sales & Marketing
Use Cases
- Retail Store Automation
- Theft Detection
Services
- Testing & Certification
About The Customer
Future Retail operates some of India’s most popular retail chains that inspire trust through innovative offerings, quality products, and affordable prices that help customers achieve a better quality of life every day. On any given day, more than 2 million people visit their stores and digital networks. Tathastu, a subsidiary of Future Group, is focused on creating next-gen consumer interactions using artificial intelligence and machine learning. Tathastu’s mandate is to explore and implement innovative strategies, process, and tools that prepare Future Group for a digital and mobile-first world.
The Challenge
Future Retail, one of India's most popular retail chains, faced a significant challenge with their flagship digital channel, the Future Pay App. The app was designed to acquire, engage, and reactivate dormant users, and improve the average monthly spend of customers. However, a sizeable percentage of consumers had the Future Pay app on their phones but were not using it. There was also room to improve the average monthly spend of Future Pay app users. Furthermore, there was immense potential for Future Pay to engage with customers with personalized coupons and promotions. The team at Tathastu, a subsidiary of Future Group, realized the need to increase adoption of Future Pay. They needed to understand consumer behavior, segment consumers, and then run personalized campaigns to engage them through the Future Pay app.
The Solution
The solution was to implement MoEngage, a common automation tool that would help Future Retail look at customer behavior across brands, formats, and channels. With MoEngage platform plugged into a common data-lake, multiple teams would have a unified view of customers across brands. This unified customer view would help Future Retail analyze behavioral attributes, micro-segment consumers and deliver multi-touch campaigns to re-activate dormant users of the Future Pay app. For instance, the marketing team at “Central” could create a segment of customers who shop at “Big Bazaar”, but not at “Central”. They could then analyze specific behavior patterns of this consumer segment and collaborate with the marketing team at “Big Bazaar” to run specific campaigns for cross promotions and upsells. Additionally, having a unified customer engagement platform also means access to standardized analytics across all brand teams. Marketing teams within FutureRetail now look at the same set of data leading to faster and more accurate decisions.
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