Skip to content
A lattice of store, stock and order signals

Retail

The store work nobody has time for

We build the systems that do that work: returns, stock, prices, marketplaces, the weekly pack.

From the dock door inward (receiving, put-away and picking) is a different page: Warehousing

A returns bay of unbooked stock, and a file that still thinks it sold.

Returns supervisor

Replenishment that doesn't fire, and counts done twice because the first disagreed.

Store manager

Oversell penalties, returns that never reach sellable stock, and deductions finance cannot reconcile.

Marketplace lead

A weekly pack assembled by hand from POS, ERP and marketplace exports.

Head of trading
Bars of differing height representing weekly store signals

What changes first

Returns move again

Items are routed and back in sellable stock the same day.

Shelves and records agree

The lines that quietly stopped selling raise one count instead of a stocktake.

Monday is a decision, not a rebuild

The pack assembles itself and names the few things that need someone to choose.

Where the work leaks, and what we build

Returns

The returns bay

A returns desk on your own systems reads the reason, routes the item, prepares the refund, and sends the odd ones to a person.

A person releases every refund above your threshold, and every abuse flag.

Stock

The shelf says empty, the system says otherwise

The system watches sales against book stock store by store, asks for one count instead of a stocktake, and drafts the order.

The store manager accepts the count task; a person releases the order.

Marketplace

Several marketplace panels, one stock number

One console over your marketplace channels reconciles stock, warns before a dispatch deadline slips, matches every deduction to your ledger, and drafts the dispute.

A person files every dispute and approves every push to a marketplace.

Reporting

The Monday pack rebuilt by hand

We build the pack as an agentic system on your data: it assembles itself, explains the variance, and flags what needs a decision.

The person who owned the pack reviews it, then spot-checks.

A week with the system

Monday
The pack is built. It asks for counts on the stores that stopped selling.
Tuesday
A competitor drops a price. You see the margin and you decide.
Wednesday
Weekend returns are routed; the ones that look like abuse wait for a person.
Thursday
Peak. Order-status calls are answered; the damaged-delivery call goes to a person.
Friday
Finance opens the deduction report. Every line is matched, and the disputes are drafted.

Illustrative example. Nothing here is a measured result.

What we would watch with you

Illustrative example. Nothing here is a measured result.
What we watchHow it is measuredBaseline
Return-to-sellable cycle timeReturns-bay scan to sellable stock, read from the ledger.Most chains cannot measure it today.
On-shelf availability on the top linesGap rate on the top-selling lines, weekly, per store.Needs a store-executable target, since most causes are store-level.
Marketplace cancellation and late-dispatch ratePlatform-reported seller metrics, per marketplace, monthly.Each platform defines it differently, so state it per platform.
Price-decision latencyFrom an observed market change to a recorded human decision.The regulatory frame requires a human decision point.
Hours of manual reporting removedNamed people and hours per week, measured before and after.The easiest baseline to establish, and the one owners feel.

Questions retailers ask

Will it change prices on its own?

No. A person approves every price change. The system watches the market, shows what moved and what it costs you, proposes an action, and records what you decided. That record is the point.

Does our data have to leave our building?

No. We can run the whole system on hardware you own, inside your network, including anything touching store cameras or customer records. Where a cloud service genuinely helps, we say so before you decide.

Do you leave once it is live?

No. We stay. We monitor it in production, fix what breaks, change what the stores tell us is wrong, and re-version it until it hits the targets we set together.

Last reviewed:

A lattice of store, stock and order signals
Retail

Tell us what Monday looks like.

Send us one process and we will tell you honestly whether an agentic system helps.

Talk to us