LETSAIM.AI

Awareness · Intention · Momentum

One working day with AIM · retail

Your whole business,
ready when you are.

AIM reads everything overnight and hands you one page in the morning, with the one call that needs you already costed. You decide. It lands by lunch.

Share one data fileHow it works

Private by design · runs inside your network

Scroll — one working day in the store

01 · 06:00 — Read overnight

While you slept, AIM read everything.

Sales dumps, stock sheets, mail, logs — every number from yesterday reconciled to one before your alarm. The one thing that needs a human is flagged and set aside.

  • Every till, report and mail — read
  • Three numbers become one
  • One call kept for you

02 · 08:30 — One page

You walk in to one page.

Not a hundred reports. What's on track, what's drifting, and the one item lifted into the light — the same page for every role, sized to their patch.

  • Your whole day on one screen
  • Sized to each role
  • Desktop, phone, shop floor

03 · 10:30 — The decision

AIM drafts. You decide.

Two ways to fix it, costed on live numbers. You pick one; AIM writes it up as work orders. Nothing moves without you.

  • Two options, numbers attached
  • Your call becomes a work order
  • Nothing moves without you

04 · 13:00 — It lands

One yes, everywhere by lunch.

The store gets its instruction, the region head sees the pattern, head office logs the change — and you watch each one land.

  • One instruction per person
  • Store, region, head office
  • Confirmed back to you

18:00 — close of day, every day

Awareness.
Intention.
Momentum.

That was one day: everything read, one page, your call, carried out by lunch — and tomorrow's brief already under way. On your own servers, every day.

Share one data fileHow it works

Where most retailers start

Most retail data isn’t ready for the morning.

AIM starts from the exports you already have — a spreadsheet, a POS dump, an email — and reads them into one map.

12%

of retailers say their data foundations are AI-ready

73%

call their stacks only partly integrated

>80%

are still reconciling customer and product identities by hand

Sources: cfotech.com.au retail data gaps 2026; Adyen Index 2026.

Every morning, on your desk

What you get.

A web dashboard, a mobile app, an assistant that alerts and answers, and work orders that come back confirmed — on one map of your business.

Web dashboard

One page per role: what's on track, what's drifting, the one item that needs a call.

Open

Mobile app

Today's instruction on the shop floor; tap to confirm; ask in plain language.

Open

AI assistant & alerts

Answers from your own numbers; alerts routed to the right role, with the why.

Open

Work orders & confirmation

Your yes becomes the instruction; store, region, head office confirm back.

Open

One map, every week

Everything a store operation asks for.

Not a catalogue of modules — one map, read every night, and the eight things your stores and head office ask for every week.

Morning brief

Every system read overnight, one page waiting when you walk in.

Alerts

Routed to the right role, with the why — not a blast to everyone.

Ask the assistant

Answers from your own numbers, in plain language, any time.

Options & work orders

Two costed options; your yes becomes the instruction.

Business reviews

Business reviews from one screen — no deck to build.

Planning

Roster, vacancy and target planning, on live data.

Store visits & audits

Checklists, photos, scores that reach region the same day.

Announcements

Head office to stores, with read receipts back.

Built for every role

One page, sized to each role.

Same engine, three altitudes — the whole network, the region drifting from plan, or today’s one instruction, each on one page.

CEO / ownerThe whole network, the one thing that needs a call, this morning.

AIM — CEO / ownerSample data
Company · 142 stores
MTD revenue
42.8M
+12.4% YoY
Above target
118 / 142
stores
Ranked by AIM

Central tracking −8% vs plan — six stores drive 80% of the gap.

Region headThe stores drifting from plan, ranked, with the why.

AIM — Region headSample data
Central · 26 stores
Region MTD
5.9M
−2.0% YoY
Above target
14 / 26
stores
Ranked by AIM

Six stores account for 80% of the regional gap — ranked, visits suggested.

Store managerToday's instruction, in plain words, on the phone.

AIM — Store managerSample data
Metro Junction
Store MTD
365k
+14% YoY
Achievement
106.7%
of plan
Ranked by AIM

Yesterday was your best Tuesday this quarter — 19k on 41 bills.

Deployment, your choice

Inside your boundary.

Three ways to run AIM — on your servers, in your cloud, or hosted for you. In every case, the boundary is yours and nothing crosses it uninvited.

SourcesThe mapYour apps

Your own servers

AIM runs on infrastructure you already operate.

Your own cloud tenant

AIM deploys inside your AWS, Azure or GCP account.

Hosted by AIM, single-tenant

AIM hosts it for you — still single-tenant, still yours.

Reads first; writes only with your yes. Your data never leaves your boundary. Open-format export — the map is yours.

Not configured — built

Built for you.

Not configured — built on your systems, your vocabulary, your rules.

  1. 01

    The map drawn from your exports, confirmed by your people in one workshop.

  2. 02

    Every role's page shaped to its goals.

  3. 03

    Your rules become checks.

  4. 04

    It grows one problem at a time.

Proof, not promises

Running every day inside a national retail network.

Context

A national retail chain, 142 stores across company-owned and franchise formats.

Goal

One morning brief for every role, from the systems they already had.

Process

Exports first, the map confirmed in one workshop, then live feeds.

Result

  • Nightly reconciliation of every sales signal, store to head office.
  • One page scoped from CEO down to the shop floor.
  • Minutes, not meetings, from raw signal to ranked insight.

Runs inside your network · your data never leaves · open-format export

Share one data file. First brief in two weeks.

Share one data file How it works