Front Line
AI Order Support Agent
Answers order status, delivery and change requests using live order data.
Process
AI Operations Assistant for Retail
Store tasks, rota requests, deliveries and repairs tracked in one place, with a daily brief for every store manager.
Store managers juggle head office tasks, shift swaps, late deliveries and broken fixtures, usually across a dozen chat threads. This edition gives your store teams one place to raise those requests. It logs each one against the right store, checks it against your rules, chases anything that stalls and sends every store manager a short daily brief. Anything outside your rules goes to an approver first.
- Store tasks and rota requests logged against the right store
- Late deliveries and open repairs chased until someone closes them
- A short daily brief waiting for every store manager
$5,400
20–30 working days
Optional maintenance $270/mo
What it is
AI Operations Assistant for Retail is an internal assistant for your store and area teams. Staff send it task updates, shift swap requests, delivery problems and maintenance issues on one channel. It records each request in your tools, follows up on anything that stalls and sends each store manager a daily brief. It does not talk to shoppers.
Why businesses buy it
In a business with several stores, small operational requests decide how the day goes. A shift swap waits for a reply. A delivery arrives short and nobody logs it. A broken till sits for a week because the request went to the wrong person. Area managers end up relaying messages instead of visiting stores. This edition gives every store the same way to raise and track requests, and your rules decide what happens next. Approvals reach the right person, nothing stays open without a follow-up, and head office sees the same picture as the store. The Scope Card fixes the channel, systems and workflows before you order.
Problems this solves
Store issues get raised by text and lost between shifts
Store staff send task updates, delivery problems and maintenance issues to one channel. The assistant records each request in your connected tools, so the next shift can see what is still outstanding.
Shift swaps get agreed informally and store rotas fall out of date
Swap requests go to the assistant, which checks them against your approval rules and updates the connected system. Anything outside the rules goes to the store or area manager to decide.
Area managers chase the same open task across several stores
The assistant follows up on any request that stalls without anyone having to remember it. Area managers can see which items are stuck without ringing each store for an update.
Store managers open up without a clear list of what needs doing
Each store manager gets a daily brief built from the requests logged for that store. Open tasks, delivery problems and maintenance jobs appear in one short list before the doors open.
A good fit if
Store teams raise tasks, shift swaps and repair requests in scattered chats, calls and emails.
Area managers spend hours each week chasing stores for task updates and delivery problems.
Your stock and delivery data sits in POS or inventory exports you can share.
You want each store manager to start the day with one clear list of open items.
Not the right fit if
You want shoppers' questions about stock, orders and returns answered. AI Customer Support Agent for Retail is built for customers, not store teams.
You need stock levels forecast and stockouts flagged before they happen. See AI Inventory Intelligence.
You mainly want weekly sales and store reports assembled from several sources. See AI Report Automation for Retail.
Each store needs its own rules, contacts and approvers set up separately. Add the Multi-Location Setup add-on.
How it works
- Store staff raise a request on one channel, such as Slack or Microsoft Teams: a task update, a shift swap, a short delivery or a broken fixture.
- The assistant sorts it with the Retail template, tags the store and records it in the connected system, such as your task tool.
- Rota requests are checked against your rules. Anything that needs sign-off, like extra hours or a swap that leaves a shift short, goes to the approver you name.
- Deliveries and repairs are tracked against your POS or inventory exports and supplier contacts, and any item that stalls is chased.
- Each morning, every store manager gets a short brief: open tasks, expected deliveries, outstanding repairs and anything waiting for approval.
- Before launch, 50 scenarios based on your real store requests are tested and the results are shared with you.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Admin or API access to the two systems we connect, such as your task tool and POS or inventory exports, shared by adding our team as a user or creating a key you control, never by email
- Your store list, with store managers, area managers and who approves what
- Your current store procedures, rota rules and maintenance contacts
- Ten real requests from store teams, such as shift swaps, delivery problems or repair reports
- The send time and recipients for the daily store brief
- One decision-maker for sign-off
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified: store list, rota rules and approvers agreed.
Weeks 1–2
Store task, rota, delivery, maintenance and brief workflows built.
Week 3
Task tool and POS or inventory exports connected and tested.
Weeks 3–4
50 store scenarios run and reviewed with you.
Week 4
Your review and two rounds of changes.
Go-live
Live for store teams, recorded handoff, support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $5,400 |
| Express | 15–25 working days | $6,200 |
| Rush | 10–20 working days | $7,000 |
What you receive at handover
- The retail operations assistant running on one staff channel across your stores
- Retail request types and workflow templates for tasks, shift swaps, deliveries and maintenance
- Connections to up to two agreed systems with read and write access
- A test report based on retail store scenarios
- An admin guide and a recorded handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Area managers can spend less time chasing stores for updates.
- Helps each store issue get logged once and followed up the same way.
- Makes it easier to compare how different stores handle tasks and problems.
- Time to close store tasks
- Use opened and closed dates in your task or maintenance tool. Compare each store's month before launch with the month after.
- Stalled requests per store
- Count the follow-ups the assistant sends each week. Track whether the count per store falls month on month.
- Repeat reports of the same issue
- Count duplicate reports of one problem in the assistant's log. Compare with your helpdesk or email records from before launch.
Before you start: Write down how each store raises requests today. Pull a month of task and maintenance records per store to compare against later.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build is charged once. Running it costs roughly $50 to $250 a month in AI model usage and hosting, billed to your own accounts, on top of your POS, inventory and team chat plans.
Usage during build and testing is billed to your accounts too, so you keep every provider relationship.
Ask about running costsCustom requirements
A third system such as a separate workforce management tool, live stock data instead of scheduled exports, or a second channel needs a Change Quote. Add a note at checkout for a written quote.
Request a custom versionKeep it running
Optional monthly maintenance covers monitoring, fixes and monthly change hours, for new store openings, revised rota rules or new suppliers.
$270/mo (5% of the build price a month, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | Store task apps are licensed per store or per user | An outsourced admin team bills monthly | Ours is one fixed price, shown on this page before you buy |
| Raising requests | Staff fill in forms in yet another app | Someone re-types messages into a tracker | Ours takes requests in the chat tool stores already use |
| Follow-up | Reminders only if someone sets them | An agency build depends on what was agreed | Ours chases stalled deliveries and repairs on your rules |
| Delivery | Store-by-store rollout takes weeks | An agency usually takes several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
Does the retail operations assistant answer shoppers?
No. This edition works for your own staff: store teams, area managers and head office. It handles internal requests such as tasks, shift swaps, deliveries and repairs. If you want shoppers' questions about stock, orders or returns answered, AI Customer Support Agent for Retail is built for that, and the two can run side by side.
How are store rota and shift swap requests handled?
A staff member asks on the channel, and the assistant checks the request against the rota rules you supply, such as minimum cover per shift or notice periods. Requests inside the rules are logged and confirmed. Anything outside them, or anything your rules say needs sign-off, goes to the store manager or approver you name first.
What happens when a store delivery arrives short or late?
Store staff report it on the channel, and the assistant logs the problem against the store and the delivery, using your POS or inventory exports where they are connected. It contacts the supplier or the head office owner your rules name, and keeps following up until someone marks it resolved. Open delivery issues also appear in that store's daily brief.
What goes into each store manager's daily brief?
Each brief covers one store: open tasks, rota requests waiting for an answer, expected deliveries, repairs still outstanding and anything sitting with an approver. You choose the send time, the recipients and the channel during intake. Area managers can be copied on the briefs for their stores, so they see what needs attention before they start visiting.
Which systems can it connect to in a retail business?
Up to two systems with read and write access are included. Retailers usually pick a task or project tool plus their POS or inventory exports, with Slack or Microsoft Teams as the channel staff use. Google Workspace or Microsoft 365 can hold the procedures it reads. A third system, such as a separate workforce management tool, needs a Change Quote.
Can it handle stores that follow different procedures?
Yes, within limits. Up to 100 documents are included, so store procedures, supplier contacts and maintenance lists can sit side by side, tagged by store. If each store needs its own approvers, rules and briefs configured separately, add the Multi-Location Setup add-on at checkout and we set every store up the same careful way.
How much time does the retail intake take?
Most of it is gathering what you already have: your store list, rota rules, maintenance contacts and ten real requests from store teams. All items are due within 72 hours of your order. Later, expect about an hour to review the test results, plus the recorded sixty-minute handoff session for the managers who will run it.
Give every store one place to raise and track requests.
Order AI Operations Assistant for Retail and on a fixed delivery date your store teams get one channel for tasks, rota requests, deliveries and repairs, with a daily brief for every manager.
Works well with
Business Rhythm
AI Daily Operations Agent
Collects daily updates across teams and flags issues needing attention.
