Demand-Led Prep & Order Planner | Real Minds AI
Retail & HospitalityDecisioninglive

Demand-Led Prep & Order Planner

Builds next week's prep and ordering plan from your POS sales history, the bookings calendar, and forecast weather and events, recommends quantities line by line with the reasoning, and flags any line where history is too thin to be confident. The operator reviews and approves every order.

realmindsai.com.au/theater/demos/retail_demand-led-prep-order-planner.html · sandbox · read-only
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How it would work

One agent, grounded in your library, with citations on every paragraph.

01 · input
Member question
02 · agent
Your agent
03 · output
Cited answer or escalation
The problem it solves

Orders get anchored to last week, so they miss seasonal swings, local events, and weather — and the kitchen over-preps perishables while running out of the lines that sell. The mechanism is consistent: gut-feel ordering produces waste at one end and stockouts at the other, and even 1–2 kg of avoidable protein waste a day costs a single venue several thousand dollars a year before the lost sales on the floor.

This pattern reads the last several weeks of POS sales, folds in the bookings calendar and forecast weather and events, and drafts a prep and order plan with recommended quantities and the reasoning behind each line. Where the trading history is too thin to forecast reliably, it leaves the line blank and flags it for the operator to set rather than guessing. The buyer reviews the draft, applies their supplier relationships and judgement, and approves the final order. Nothing is ordered without a person.

TA
Tracy Anthony · Co-Founder & CEO · wrote up this design
What it would take to build

Estimated build: 3–5 weeks. Most of it is template work we've already done.

Estimated build time
3–5weeks
Diagnostic · build · soft launch · review.
Reused from template
~70%
Agent shell · retrieval · audit · deployment.
Bespoke to this skin
~30%
POS integration, demand-forecast modelling, supplier and menu mapping.
stack · Make · POS API · LLM forecast · supplier catalogue · review UI
What it would cost for your org

Fixed scope, fixed price, fixed dates.

The cost band reflects the engagement shape, not a per-feature line item. We work on fixed scope, fixed price, fixed dates — see the services catalogue for what falls inside each band.

Engagement band
A bite-sized first piece → pilot build → embedded support. Start small, scale on proof — most builds land in the pilot band.

Considering this for your org?

The honest place to start is a bite-sized first piece — one contained change, low risk. Tell us where it hurts; we’ll play it back, scope it, and show you what’s possible.

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