AI for retail & hospitality, grounded in your own POS, roster, and booking data.
AI for retail & hospitality is grounded, auditable software RMAI builds on your own POS, roster, booking, and supplier data — so demand-led ordering, award-checked rosters, the calls and enquiries that ring through service, and the reviews waiting for a reply get forecast, drafted, and flagged in minutes, with a manager signing off before anything reaches a customer, a shift, or the pay run.
What actually squeezes a retail or hospitality operator now.
The margins are thin and the rules just got sharper. Labour is the biggest controllable cost and, since January 2025, getting it wrong can be criminal — while ordering still runs on last week’s guess, the phone rings out through service, and reviews pile up unanswered. None of these is a craft problem; each is a data-and-handoff problem between your POS, roster, and inbox, which is exactly where grounded AI earns its keep.
Get the roster wrong and underpayment is now criminal
Labour is the largest controllable cost in retail and hospitality — often around 40% of sales on thin margins — and since 1 January 2025 intentional underpayment is a criminal offence under the Fair Work Act, carrying up to 10 years' prison and company fines to $8.25m. Penalty rates, overtime, and allowances across the Restaurant, Hospitality, and General Retail awards are hard to get right by hand, and a roster built from memory is exactly where the exposure hides. (Honest mistakes aren't criminal — but a documented check is how you prove it.)
Ordering and prep run on gut feel, not demand
Orders anchored to last week miss seasonal swings, local events, and weather, so a kitchen over-preps perishables — or a shop over-orders the slow lines and runs out of what actually sells. Just 1–2 kg of avoidable protein waste a day costs a single venue roughly $5,000–$10,000 a year, before the lost sales from an empty shelf or a stockout on the floor.
The phone rings through service and customers go elsewhere
During a rush the counter has to choose between the customer in front of them and the phone, so bookings, orders, and enquiries go to voicemail — and the caller simply rings the next place. One Sydney operator reported AI handling 859 overflow calls in a month, work that had been costing 20–40 staff hours a week, while automated reminders cut no-shows.
Reviews go unanswered because no one has the time
Review platforms reward operators who reply promptly — in ranking and in customer trust — yet writing a genuine response to every rating across Google, the delivery apps, and the booking sites rarely gets prioritised. It is repetitive manager time that quietly costs visibility; one published case cut the drafting from 30 minutes to 5.
What changes once the floor runs on your own POS, roster, and booking data.
The aim is to recover manager hours and tighten both margin and compliance at the same time. The outcomes below are illustrative of the patterns RMAI builds toward — drawn from published results in comparable operators, not RMAI client claims; each keeps a person on the final call, and nothing orders stock, finalises a roster or a pay run, or answers a customer on its own.
The questions leaders ask first.
The questions below are the ones RMAI hears in the first call — on safety, staffing, compliance, cost, and feasibility.
What the time recovered is worth.
Move the sliders for your own volumes; the benchmark shows where shipped builds have landed.
| Task | Before | After |
|---|---|---|
| Weekly roster build + award check | ~4 hrs, by memory | ~30 min, penalties flagged |
| Phone reservations during service | missed / to voicemail | 100% answered, no-shows down |
| Review response (all platforms) | ~30 min / left unanswered | ~5 min (manager approves) |
| Weekly ordering & prep | gut feel / last week | demand-led draft, less waste |
What RMAI has built for this sector.
The applications below are grounded, human-in-the-loop tools for this sector — some already built and shipped, some scoped from real briefs. Ask us which is which.
Visual Product Search
Takes a photo of a product and searches the catalogue by image to return a ranked shortlist of matching SKUs with similarity scores and stock status — a staff member confirms the match before it drives an order or recommendation.
Review-Response Drafter
Reads new reviews across Google, the delivery apps, and the booking sites, drafts an on-brand reply matched to the rating that quotes the detail the reviewer mentioned, and flags anything about food safety, illness, or staff for the manager. It drafts for approval and never posts on its own.
Menu Engineering Dashboard
Combines POS sales with cost-of-goods to score every menu item by margin and velocity, classifies them star/plow-horse/puzzle/dog, and recommends what to feature, reprice or cut — for the manager to check against the data before changing the menu.
Demand-Matched Roster Builder
A draft weekly roster matched to your forecast demand and held inside the labour budget, with every shift checked against the Restaurant Award and anything risky flagged for the manager to fix before sign-off.
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.
Booking & Phone Agent
Answers calls 24/7, takes and confirms bookings from your own availability and menu information, sends reminders to cut no-shows, and routes anything complex or sensitive to a person with the call context attached. It works from your approved information and escalates rather than guessing.
No-Show Predictor
Scores each upcoming appointment for no-show risk from attendance history, SMS response and visit gaps, and flags the high-risk slots with the factors behind each — so the recall officer decides who to call before the slot is lost.
Timesheet-to-Payroll Reconciler
Pulls approved hours into the pay run and flags overtime spikes, missing breaks and absent clock-offs for review — turning a two-day reconcile into an hour.
Spec & Allergen Concierge
Answers spec, allergen, and COA questions from your approved documents only, quoting the source document and section on every line — and refusing to answer when the approved pack is incomplete, so customer service and sales stop waiting on one experienced person.
Shipment-Status Responder
Reads inbound "where is my order?" enquiries, pulls the current milestone and ETA from your TMS and carrier feeds, and drafts a cited reply for a person to approve — escalating any delayed or unavailable shipment instead of inventing a time. It never sends on its own.
POD Reconciliation
Reads scanned proof-of-delivery dockets, matches each against its purchase order or invoice, and flags quantity discrepancies, missing signatures and unmatched lines — clean matches reconcile automatically, exceptions land in a reviewer's queue with the mismatch highlighted.
Order Intake Sorter
Reads inbound customer orders arriving as email text and varied PDFs, extracts them into ERP-ready fields, and flags any mismatch against your item master — landing a clean, reviewable record instead of a re-keyed one.
Order Inbox Drafter
Reads orders arriving by email, PDF, voicemail, and text, extracts the line items, matches each to your SKU master, and produces a structured draft sales order — flagging anything ambiguous for a person to approve, never posting an order on its own.
Missed-Call Rescue & Booking Agent
Answers or texts back missed service calls in seconds, captures the vehicle and issue, offers real open slots, and writes the booking into the scheduler — routing anything ambiguous to an advisor instead of confirming on its own.
Inbox Triage
Turns a chaotic shared inbox into a sorted, urgency-ranked queue with drafted replies — so the morning starts with the work, not the sorting.
First-Gift Welcome Drafter
Spots first-time donors who haven't been thanked, drafts a warm, personalised welcome sequence tied to the program they actually gave to, and queues it for staff to approve and send — targeting the sector's weakest metric, first-year donor retention.
Council Enquiry Assistant
A 24/7 first responder for routine rates, waste, and permit enquiries that answers from the council's own published information with citations, and hands the complex or vulnerable cases to staff with the full context attached.
Carrier-Invoice Reconciler
Extracts every line on a carrier invoice, matches it against the contracted rate card — fuel levies, zone pricing, weight breaks — and flags overcharges with a draft dispute attached, holding each exception for a person to clear. It never approves or pays an invoice on its own.
Award Rate Checker
Reconciles every payslip line against the modern award before the pay run leaves, so an underpaid weekend penalty or missed allowance gets caught — and corrected — before it becomes a wage-theft exposure.
Prompts you can use today, for free.
Sector-specific prompts RMAI uses as starting points. Copy one and run it against de-identified samples — or inside an approved private environment — to see the shape of the answer before you talk to us.
Safety first: use de-identified samples, or run these inside your own approved private environment — never paste live customer records, POS data, or staff details into a public chatbot.
How RMAI would work with you.
Every engagement starts with the diagnostic and scales from there. These link through to how RMAI works.
What a defensible result looks like.
These are published third-party results in comparable Australian and NZ operators — illustrative of the target RMAI builds toward, with a human in the loop throughout. They are not RMAI client claims.
Still rostering from memory under the new wage laws?
The two-week diagnostic is the right place to start. Fixed scope, fixed price. We’ll tell you whether the pattern fits and what the build would look like.