Basket Intelligence helps teams focus on what really matters in retail performance: the quality of each shopping trip, not just traffic or unit sales. By analysing average basket value, margin, and profit at store, group, and product level, tapestry highlights underperforming patterns early — before they become embedded. Teams can quickly identify stores with shrinking baskets, understand what shoppers naturally buy together, and uncover evidence-based opportunities for adjacencies, bundles, and promotions.
Across the day, Basket Intelligence supports sharper decisions — from validating whether promotions are genuinely driving incremental, profitable spend, to surfacing clear basket trends ahead of planning conversations. The impact is felt across the organisation: executives gain a truer signal of business health, operators can link layout and staffing decisions to outcomes, buyers see which products build baskets versus erode margin, and store teams receive clear, practical guidance on what to prioritise on the shop floor.
Morning
You look at yesterday’s average basket value and margin by store and notice one location with noticeably smaller baskets.
Underperforming stores are flagged early, so you can investigate service, layout or promotions before the pattern sets in.
Noon
You drill into baskets that include a key hero product to see what else shoppers are buying with it.
Natural bundles and attach lines emerge, giving you simple, evidence-based ideas for adjacencies and offers.
Afternoon
You compare basket metrics week-on-week for a new promotion, checking whether basket value and profit moved in the right direction.
You see whether promos are genuinely driving incremental, profitable spend rather than just discounting existing sales.
Evening
You scan a summary of basket trends – peaks, troughs and outliers – ahead of tomorrow’s planning meeting.
You walk into the room with specific patterns to discuss, not just a sense that “things feel a bit softer” or “busier”.
By focusing on baskets rather than individual items, the whole team works from a stronger, shared signal. Leaders see whether value per trip is really growing, operators link staffing and layout decisions to outcomes, managers optimise displays and adjacencies, buyers back range and promo choices with better evidence, and shop floor teams get clear guidance on what actually lifts profitable baskets.
Margins are tighter, staff stretched, and data scattered across disconnected tools.
Retail+ brings AI-driven clarity to every decision — from store floor to boardroom — so you can act in real time, not in retrospect.
