Building the solution

This retailer needed accurate data—fast. So they chose Redis as their event-driven message broker and cache for real-time inventory updates. They used Redis caching and Redis Data Integration (RDI) to speed things up and a vector database to power their internal chatbot.
Using RDI, the team easily pulled data from Oracle and pushed it to Azure Cache for Redis (ACRE), creating a smooth transition to Azure cloud and on-prem infrastructure. RDI synchronizes existing databases to mirror app data, so slower apps can operate at real-time speeds without refactoring, writing new code, or time-wasting integration efforts. 

By using RDI for near-real-time inventory management, the business allows can track inventory changes across stores and update their e-commerce platform’s product availability info rapidly. This has shaved more than milliseconds off latency time, dropping from 10-30-minute delays to just 30-second wait times. Now, customers have the most accurate information on product availability, reducing order cancellations due to inventory discrepancies and saving the business an estimated $800,000 annually.

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We don’t want any operational headache between the systems. It should all be reliable and work flawlessly; that’s what we’re counting on. So far, Redis is giving us the tools and peace of mind we were looking for so that we can spend more time focusing on our customers.

Plus, by using Redis for their personalization API, especially for their “buy it again” tool, conversion rates have jumped by 43%. By prioritizing customer satisfaction and removing inconveniences, that money now directly benefits the retailer.

Creating a better employee experience

The business also used Redis vector database within their internal employee portal—helping team members search to answer customer questions or find similar products. This search goes beyond basic keyword matching and filtering, so internal teams can access information much faster with recommendation systems, image and video search, natural language processing, and anomaly detection. With 2000 questions to answer daily, this increased productivity and knowledge accessibility allows staff to spend less time digging for information and more time delivering superior customer service.

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We are thrilled with the Redis vector database. It powers our chatbot so that team members can ask questions and quickly get accurate, AI-generated answers. We can also now recommend better targeted products for customers based on their search patterns. We went with Redis since they already integrated with our systems and worked for the large scale that we need.

Putting all the pieces together

Redis RDI and vector databases have changed the way this retailer interacts with customers and rebuilt trust in their online shopping experience. With Redis, this brand brings their shoppers the info they need fast—and makes it easy to get what they need, when they need it, every time.

Meeting viewers’ expectations with scalable performance

Redis has become the backbone of JioCinema’s underlying digital infrastructure. Reliable caching means the platform can handle any number of viewers, deliver premium streaming performance, and provide a UX that brings millions of viewers back for more content.

The platform’s out-of-the-box functionality has enabled JioCinema to deploy quickly, meet critical deadlines, and strategize more effectively, resulting in 100% internal satisfaction. With Redis, JioCinema has achieved 99% uptime and 0.7 millisecond latency, delivering a consistent, high-quality playback experience for over 100 million daily users.