Data and AI for retail
Retailers sit on huge volumes of customer, transaction and loyalty data but struggle to turn it into an advantage. We build the data foundations, then put them to work, from customer identity through to loyalty and marketing analytics.
Industry Challenges
Loyalty and marketing analytics that lag the decisions they need to inform.
Customer identity fragmented across brands, making a single view of the shopper hard to assemble.
Data foundations that were never designed to power targeting or attribution.
Data teams stuck maintaining legacy pipelines instead of shipping insight to merchandising, marketing and store operations.
Our Services for Retail
We build the data foundations a retailer runs on: customer identity across brands, loyalty analytics, marketing analytics, and the pipelines that keep it all current.
We build agents that speed retail teams up on merchandising, category and marketing workflows, trained on your own product, customer and campaign data.
We ship targeting, propensity and personalisation models that reach production and stay useful, backed by proper MLOps and governance.
We run analytics, reporting and delivery for retailers, embedding senior specialists alongside your team and augmenting with agents.
We assess your customer, loyalty and analytics maturity honestly, then set the roadmap and governance framework that ties data spend to commercial outcomes.
Common questions
How is AI used in retail?
In retail, AI and data work drives loyalty, marketing analytics, retail media measurement and identity resolution. Xephyr has built the measurement methodology behind Scentre Group BrandSpace and delivered retail data programs with Bunnings, Wesfarmers Health and Kmart.
Related Industries
Discuss your retail challenges
Book a call and we’ll show you what your loyalty and customer data can do inside your environment.