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Case Study: Sainsbury's regains 20 hours per sprint per team with Confluent data streaming

Sainsbury's Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Sainsbury's
Industry
Retail
Challenge
Modernize legacy systems to unlock real-time supply-chain data.
Headline result
Real-time data streaming as the backbone of a supply-chain transformation

Key results

20 hrs
Regained per sprint, per team
engineers refocused on business logic

The challenge

Sainsbury's, the UK's second largest supermarket chain with over 1,400 stores, needed to overhaul legacy IT systems that limited access to data for customer-facing initiatives. It required a platform that could handle large volumes of event data and support real-time data streaming for its supply chain.

The solution

Sainsbury's chose Confluent to form the data streaming backbone of its digital transformation program, moving toward a cloud-native configuration. Confluent's managed support let engineers focus on business logic rather than managing complex data clusters.

As a result of our partnership with Confluent, we've regained an average of 20 hours per sprint, per team, as Confluent's support means our engineers can now focus solely on business logic, instead of managing complex data clusters.

PB
Pedro Baeta
Senior Engineering Manager, Sainsbury's

The results, in context

Sainsbury's reported regaining an average of 20 hours per sprint, per team, as engineers shifted focus from operating complex data clusters to building business logic. The platform underpins the real-time data behind the retailer's supply chain and logistics.

Products used

Confluent Confluent PlatformConfluent Confluent Cloud