AI agents for founders and executives in retail

The Monday trading flash is rebuilt from scratch every week. Someone exports Square and Shopify, lines up last year, shades the stores behind plan, and by the time it lands the meeting has half started.

→An agent pulls each store and the website, works out like-for-like against last year, and drafts the flash before the meeting, so you open it and start the conversation about the stores that need you.

Decisions pile up in the inbox: markdown proposals, shop-fit quotes, discount exceptions, new range requests. Each one needs numbers worked out before you can say yes, so they wait until Friday and stores wait with them.

→An agent collects every request waiting on you, works out the margin and cost impact, and lays each one out on a page, leaving you to approve or refuse rather than do the sums.

Lease dates live in a drawer, a folder, and one person's memory. A rent review or break clause date slips past, and a landlord's letter sits unread until the deadline is close.

→An agent keeps one lease diary, reads landlord and agent letters as they arrive, and warns you months before a review, break, or renewal, with the evidence you will need already gathered.

Peak trading is run from a spreadsheet nobody trusts. Temporary staff, extra stock, and sale dates are all tracked by chasing people, and slippage shows up the week of Black Friday.

→An agent tracks each peak task against its date, compares sell-through with the plan weekly, and flags a slipping item early, so there is still time to fix it before the busy weeks arrive.