Multi-site Retailer
“Our operational leaders always had unique analytical questions because they're always pushing the boundaries of what's possible. Now they can get fast, accurate answers in minutes.”
Chief Financial Officer, Brisbane
Ask your business a question. Get a cited answer before the meeting ends.
Picture the same meeting with the layer in place. The CFO types the revenue question into a chat window on their laptop. Ten seconds later they have the answer, broken down by site and category, with a citation back to the POS transactions and the roster hours it was compared against. They ask a follow-up about the promotional calendar. Another answer. The meeting makes a decision.
Your analyst, meanwhile, is not in that meeting. They are modelling a supplier rationalisation that will save more than the meeting is worth. The reason they have the time is that nobody has asked them to build a dashboard in six weeks.
The point of the solution is that the list below is not a demo script. These are the kinds of questions your CFO, COO, or site manager asks on any given Tuesday, and the system answers each of them from the data you already own.
| Business question | How the system answers |
|---|---|
| Which sites are trending below last year's gross margin? | Joins POS sales and cost-of-goods by site, compares to prior-year week, ranks the outliers. Answer: a ranked list with variance %. |
| Is the new loyalty program cannibalising full-price sales? | Segments loyalty-member baskets against non-member baskets since launch, isolates discount uptake versus incremental visits. Answer: net margin effect with confidence band. |
| Which vendor contracts are on track to exceed forecast spend this quarter? | Compares AP run-rate against contract budgets from the ERP, flags trajectories breaching threshold. Answer: vendor list with projected overrun. |
| What's our cash conversion cycle by region? | Computes DSO, DIO, DPO from ledger and inventory tables, rolls up by region. Answer: single metric per region with trend. |
| Are we rostering too many hours into Tuesday mornings? | Correlates rostered labour hours against foot traffic and sales by day-part, site by site. Answer: sites with labour-to-sales ratio outside the band. |
| Which product lines have the highest return rate since the September range change? | Filters returns data against SKUs introduced after a cut-off date, normalises by units sold. Answer: ranked SKU list with return %. |
| How did last weekend's promotion perform against forecast? | Pulls promo mechanic from the marketing calendar, compares attributed sales against the baseline model. Answer: uplift in units and margin. |
| Which sites have had more than two compliance incidents this quarter? | Queries the incident log against site master data, filters by severity and date. Answer: site list with incident detail. |
Every answer includes the query run and a link back to the rows it came from. A finance leader who doesn't trust the number can check it herself in under a minute.
We stand up an AIS that unifies your ERP, POS, CRM, finance, rostering, and payroll into one governed model.
A semantic layer maps your business language (sites, categories, margins, shifts) to the underlying tables so answers use your words.
The conversational agent translates each question into a validated query, runs it, and returns a numeric answer with citations.
Ask a follow-up at any level of detail and the agent drills into the same data, with citations back to the source rows.
Role-based access controls mean the store manager sees their site, the CEO sees the network, payroll detail stays locked.
Feedback on bad answers routes back to the data team as a backlog, not a complaint.
The system learns your most-asked questions and pre-computes them, so board-pack metrics arrive before they're requested.
Leadership decisions happen live, not after a three-day analyst queue. Validated at a multi-site retailer across 29 sites, where operational leaders now get fast, accurate answers to unique questions in minutes.
Your overworked analyst stops building yet another dashboard nobody opens. They move to investigation, modelling, and margin work. That is usually worth 10–20x what report-building was worth to the business.
Costly contracts, revenue anomalies, and margin drift get found because somebody asked a question, not because somebody scoped a project. The retailer identified cancellable contracts and revenue improvement opportunities without commissioning an analyst.
Culture shifts. Leaders who once gave up on a question now ask it. The data team is resourced to meet that demand. Meetings get faster, and so does the operating rhythm.
Ask Your Business is a conversational AI layer over your unified operational, sales, finance, and payroll data. Leaders type a plain-English question and get an accurate, cited answer in minutes. The name is literal. No dashboard to open, no analyst queue to join, no three-day wait.
Monday, 8:47am. The CEO opens the weekly trading meeting and asks why revenue dipped 4% last week. Three people reach for three spreadsheets. One pulls from the POS export. One has a Power BI view that was built for a different question six months ago. One is still waiting on the payroll extract. The meeting moves on without an answer.
That answer exists. It has existed since Saturday night. It's scattered across the ERP, the rostering system, the loyalty platform, and a folder of CSVs the finance team maintains by hand. The analyst who could stitch it together is booked until Thursday.
Most mid-market leaders have accepted this as the cost of doing business. It isn't. The data is there. The stitching is the problem. Ask Your Business removes the stitching.
The operating layer your AI, automation, and analytics run on. Deployed in two weeks.
Learn moreProduction-ready AI agents, chatbots, and multi-agent systems, built senior-led end-to-end.
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Learn moreClose the gap between what your data knows and what your business does. The architecture from insight through decision to action.
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Multi-site Retailer
Retail
“Our operational leaders always had unique analytical questions because they're always pushing the boundaries of what's possible. Now they can get fast, accurate answers in minutes.”
A leadership view that only surfaces what needs deciding, with the action one click from approved.
3 days
Board-pack prep collapsed to a live view
When your most senior person retires, their institutional knowledge shouldn't walk out the door with them.
Weeks
cut from new-starter onboarding
An automated intelligence layer deployed into your business in two weeks. Your AI agents, dashboards, and automation run on it from day one.
2 weeks
to AIS live with first source systems
30-minute call, no slides, no obligation. We'll tell you plainly whether this is the right fit for what you're trying to do.
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