In the rapidly evolving retail landscape, real-time data sharing between retailers and suppliers is emerging as a critical strategy for driving superior shopper experiences. This paper explores how that collaboration leads to more effective target pricing, more personalised promotional activities, enhanced product information sharing, and better-stocked shelves.
Why this matters now
The shopper has changed. So has the supply chain underneath them. The retailer who sees what's selling on Tuesday afternoon can make decisions on Wednesday morning that the retailer working from last month's data cannot. The cost of that lag has compounded.
And the shopper experiences the lag directly: a stockout, an irrelevant promotion, a price that's drifted from the market. Real-time data sharing closes the loop. Not because it gives retailers and suppliers more data - because it gives them the same data, at the same moment, with provenance both sides trust.
Four shopper-facing levers
Target pricing. When suppliers and retailers share daily sell-through data, pricing decisions become evidence-based. Elasticity gets measured against actual sales, not panel approximations. The shopper sees prices that respond to demand rather than prices that drift behind it.
Personalised promotion. A supplier and a retailer who can both see basket composition and category interaction can design promotions that lift the category rather than cannibalising adjacent SKUs. The shopper experiences a promotion that feels relevant rather than generic.
Product information sharing. Real-time inventory and assortment data shared between brand and retailer means the brand can update the digital shelf in step with the physical shelf. The shopper finds what they expect, where they expect it.
On-shelf availability. Joint visibility into stock-out risk drives faster replenishment decisions and tighter supply-chain coordination. The shopper finds the product they came in for. The retailer doesn't lose the basket. The supplier doesn't lose the moment of demand.
Governed sharing
The reason this has been hard to do historically isn't technical. It's governance. Retailers have - rightly - been protective of their data. Suppliers have - rightly - wanted to use it.
The model that works is governed sharing: every share logged, every payment traceable, every anonymisation rule auditable. tapestry's data fabric layer encodes these rules as first-class infrastructure rather than after-the-fact controls. Retailers see exactly what they're sharing and with whom. Suppliers see only what's been licensed to them. The shopper, in the end, benefits from the cooperation that becomes possible.
Closing thought
Better shopper experience isn't a sentimental goal. It's the operational outcome of retailers and suppliers running the same data in real time, with trust and governance in place. The retailers and brands leading on this are quietly pulling ahead.