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in inventory updates from 30-minute delays to just 30 seconds
in web traffic conversion rates through caching
yearly revenue loss
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.
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.
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.
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.
Ulta Beauty uses Redis for real-time inventory updates, slashing checkout times and improving performance.
Loblaw relies on Redis for real-time inventory updates, reducing latency and boosting availability.
KIPP leverages Redis for real-time payment approvals, enhancing e-commerce transactions and customer experience.
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