Insight
AI Data Analyst Agent for Retail
Compare stores with online sales, track click-and-collect and loyalty, and check stock, all by asking a plain question.
Retail data is split between tills, the website, stock files and the loyalty CRM, so simple questions take hours. This analyst answers in plain language across your POS or inventory exports, ecommerce platform and CRM. Store managers and head office can compare branches with online, follow click-and-collect and see how loyalty members buy, with every chart's source shown.
- Compare stores with online sales in one plain-language answer
- Track stock, click-and-collect and loyalty without manual exports
- Head office and store managers see the same agreed numbers
$5,900
20–30 working days
Optional maintenance $295/mo
What it is
AI Data Analyst Agent for Retail answers plain-language questions across your POS or inventory exports, ecommerce platform and CRM, so store managers and head office can compare branches with online, follow click-and-collect volumes and see how loyalty members buy. Charts come with their source shown.
Why businesses buy it
Retailers lose margin when stock sits in the wrong store or a promotion runs too long, and both usually show up in the data late. When each team pulls its own report, the numbers rarely match. This analyst gives everyone the same answer from the same sources, on demand. Store managers act faster and head office spends less time reconciling spreadsheets. The written scope sets the sources, metrics and checks against your sales history before you order.
Problems this solves
Comparing branch sales with online sales needs a manual spreadsheet
The agent answers questions across your POS or inventory exports, ecommerce platform and CRM. Store managers and head office can compare branches with online sales in a single reply.
Click-and-collect volumes are hard to follow store by store
Ask how click-and-collect is running at each store and the agent returns a chart with its source shown. Up to five alerts can flag stores that cross a level you choose.
Loyalty data is collected but rarely used for decisions
The agent answers questions on how loyalty members buy, using your CRM data. Retail metric definitions are agreed upfront, so head office and stores read the same figures.
A good fit if
Store figures come from POS exports, online figures from the ecommerce platform, and nobody puts them side by side until month end.
You want to serve customers the same way across stores and online, and need to see where the experience differs.
Click-and-collect is growing and you cannot easily tell which stores handle the most orders or the slowest pickups.
Your loyalty scheme lives in a CRM, and marketing keeps asking how members' spending compares with everyone else's.
Not the right fit if
You want recurring reports assembled from several sources on a schedule, without open questions. See AI Report Automation for Retail.
Competitor and marketplace prices are what you need tracked. See AI Price Monitoring for Retail.
Store teams need routine operational requests, scheduling and tracking handled for them. See AI Operations Assistant for Retail.
What customers say about stores matters more than sales and stock figures. See AI Customer Feedback Intelligence for Retail.
Your POS only produces CSV files. Add the CSV Import Pipeline with the build to load them reliably.
How it works
- Three read-only sources are connected: your POS or inventory system exports, your ecommerce platform, and the CRM that holds loyalty members; Google Sheets can carry store targets.
- Store names, product categories and channel labels are matched across sources, using your own definitions of a sale, a return and an active loyalty member.
- A regional manager asks, for example, 'How did click-and-collect orders compare by store last month?' and gets a chart with a short explanation.
- Stock questions are answered from the latest inventory export, and each answer states when that export was taken, so nobody mistakes it for a live count.
- A weekly stores-and-online report goes to the channel you choose, with up to five alerts, such as a store's sales falling below its target.
- Answers are checked against three months of your historical sales before launch.
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.
- Read-only access to your POS or inventory exports, ecommerce platform and CRM.
- A store list with any regions or formats you report by.
- Your definitions of a sale, a return, click-and-collect and an active loyalty member.
- At least three months of sales and inventory history.
- The questions head office and store managers ask most, and who should receive the weekly report.
- One approver for the metric definitions.
- 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, channels and retail metrics agreed.
Weeks 1–2
POS or inventory exports, ecommerce platform and CRM connected read-only.
Week 3
Stores-and-online report and store alerts configured.
Weeks 3–4
Results checked against three months of your sales.
Week 4
Review with your team and two rounds of changes.
Go-live
Live, recorded handoff, 30 days of support.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $5,900 |
| Express | 15–25 working days | $6,800 |
| Rush | 10–20 working days | $7,650 |
What you receive at handover
- The AI data analyst agent for Retail, live in email, Slack or a web dashboard
- Read-only connections to up to three sources, such as POS or inventory exports, ecommerce and CRM
- Retail metric definitions and report templates
- One dashboard or recurring report plus up to five alerts
- A test report checking results against three months of your sales history
- An admin guide, the recorded 60-minute handoff session and 30 days of post-launch support
Expected benefits and how to measure them
- Can give store managers their own answers on sales and stock
- Helps head office compare stores and online on equal terms
- Makes loyalty data useful for merchandising decisions
- Time to produce the weekly store comparison
- Time the current spreadsheet process. Compare with the time needed once the agent's report runs.
- Data requests to head office
- Count store manager requests for figures each month, before and after launch.
- Loyalty member sales
- Track loyalty member spend monthly with the agreed definition, so comparisons stay like for like.
Before you start: Time how long the weekly store-versus-online report takes. Record current click-and-collect volumes and loyalty member sales by store.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build is $5,900, paid once. Running it costs about $20 to $150 a month in your own accounts for AI model usage and hosting or scheduling; more stores asking more questions pushes it toward the top of the range.
POS, ecommerce and CRM plans stay as they are, and AI usage during build and testing is billed to you.
Ask about running costsCustom requirements
More than three sources, for example a separate franchise POS, or a second delivery channel for store managers needs a written Change Quote. Add a note at checkout; you receive it. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes, updates, a health report and change hours for things such as a new store, a revised loyalty definition or new seasonal metrics. The hours scale with your build, and bigger changes go through a Change Quote. Maintenance starts after the included support period and can be cancelled any month.
$295/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 | A retail analytics suite bills per store per month | A retail consultancy charges per analysis project | Ours is one fixed price, shown before you buy |
| Stores and online | Often split across two products | Combined in a one-off report | Ours answers across stores and online in one question |
| Stock answers | Live only with a full inventory integration | A snapshot in the report | Ours answers from your latest export and says when it was taken |
| Delivery | Rollout per store | Weeks of discovery | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
Can the Retail data analyst compare individual stores with online sales?
Yes. Once store names and channel labels are matched across your POS exports and ecommerce platform, it can compare any store, region or format against online for the periods you ask about. Answers come as a chart and short summary, with the sources named so a manager can check them.
How current are the stock figures it reports?
As current as your latest inventory export. If your POS or inventory system exports nightly, stock answers reflect last night's position, and every answer states the export time. Real-time stock would need a live inventory integration, which is outside this Scope Card and would need a Change Quote.
Can it answer questions about click-and-collect performance?
Yes, if click-and-collect orders are identifiable in your ecommerce platform or POS data, for example by fulfillment type. It can then count orders by store, compare periods and, if collection times are recorded, report how long orders wait. Fields that are not recorded cannot be analyzed, and it will say so.
Does the Retail analyst work with our loyalty scheme data?
Yes, when the CRM holding loyalty members is one of the three sources. Using your definition of an active member, it can compare members with non-members on visits, spend or product mix, as far as your data links purchases to members. It reads only; nothing in the CRM changes.
What does the Retail analyst cost to run monthly?
Around $20 to $150 a month in your own accounts for AI model usage and hosting or scheduling. A large estate with many managers asking questions daily sits at the higher end. The build itself is a one-time payment, and monthly maintenance is optional.
When will the Retail data analyst be ready?
The standard, Express and Rush delivery times are shown in the price panel before you order, and the clock starts after a verified intake. Gather read-only access, your store list and three months of sales history first, because intake is due within 72 hours of ordering.
See every store and the website in the same answer.
Order AI Data Analyst Agent for Retail and head office and store managers can ask about sales, stock, click-and-collect and loyalty in plain words, with sources shown.
Works well with
Monitoring & Forecasting
AI Forecasting Assistant
Forecasts demand, revenue or volume with explained assumptions.
