Animated demonstration: one AI assistant answers follow-up questions about a retailer’s store performance, and the same answers appear inside their own product, in Slack, in Claude, and in a bot they built. Use the buttons below to see each one.
H Halden Retail Store performance
How did my stores perform this year?How did my stores perform this year?
Summarizing insights
Your 12 stores are pulling ahead of last year, and the gap widened from April when the new range landed.
This yearLast year
↗ +18%
Revenue, EUR thousands per month
Scoped to each customer’s data, permission-aware, fully auditable
#store-ops Halden Retail
which stores are behind target?which stores are behind target?
H
Store Insightsapp08:14
Three of your twelve stores are behind target. Liège is furthest back; Ghent is comfortably ahead.
Revenue against target · 4 of 12 stores
3 short
Scoped to each customer’s data, permission-aware, fully auditable
what is driving the shortfall in Liège?what is driving the shortfall in Liège?
✳ Basket size held steady at 38 EUR, so this is a traffic problem, not a pricing one: footfall dropped once the tram works started in May.
Liège footfall, thousands per month
↘ -22%
Scoped to each customer’s data, permission-aware, fully auditable
HStore assistantbot
tell me when a store drops below 85% of targettell me when a store drops below 85% of target
Watching all 12 stores. I’ll message you here the moment one crosses that line — Liège already has.
Liège, % of target
Watching 12 stores
Scoped to this account, with its own permissions
H Halden Retail Store performance
How did my stores perform this year?How did my stores perform this year?
Summarizing insights
Your 12 stores are pulling ahead of last year, and the gap widened from April when the new range landed.
This yearLast year
↗ +18%
Revenue, EUR thousands per month
Scoped to each customer’s data, permission-aware, fully auditable
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