atlas · Retail analytics
This reporting answers why.
Sales, stock, margin and supply in one model. Cut by store, category, channel and week without a new report, and the second question takes the same sitting.
Most dashboards stop at what.
Sales are down. Traffic, conversion, availability, mix, or one bad store? Today that is three exports and an afternoon. The meeting has moved on. Most mid-market retailers run 10+ systems and 50+ spreadsheets.
Each of these used to take an afternoon.
Same joined data. No new report.
- Which stores are down, and which are up?Store, region, state, location type.
- Is it one category or all of them?Category, subcategory, brand, product.
- Did we run out, or did it not sell?Availability and coverage warnings, beside sales.
- Is the discount driving units or only cost?Discount rate, average selling price, net-to-gross.
- Which items carried the week?Best sellers by units and sell-through.
- Was it online or in the shop?Channel beside store.
A second question costs nothing more.
One model, so a cut by store, category, channel or week is a filter, not an export. The answer arrives inside the meeting and stays with the decision.
One line opens to its products.
Item Snapshot goes from a category result to the items, sizes and stores behind it: sales, margin, price, stock and markdowns.
ATLAS / ITEM SNAPSHOT
One item. The whole picture.
Rain Jacket · Moss · C10438 · Illustrative retail data
Sales, in context.
Units / weekAll stores · Eight-week trend
Which sizes are moving?
Sales mixShare of units · All stores
M and L account for 70% of sales. Does the stock mix reflect that demand?
Same item. Different store positions.
Current week| Store | Sold | Available | Cover |
|---|---|---|---|
| Northgate | 96 | 120 | 1.3 weeks |
| Kingsbridge | 84 | 180 | 2.1 weeks |
| Riverside | 60 | 180 | 3.0 weeks |
yukti stays out of the analysis.
Nothing here places an order or moves stock. atlas reports; actions belong to the products that own them.
Dashboards and scenarios have their own page.
Daily KPIs, WSSI (MFP) views, custom reports and scheduled delivery are on atlas. core supplies the plan, product review turns answers into decisions; integrations supply the joins.
Questions, answered.
Does it tell me why?
No. It joins the data so the follow-up is a filter, not an export. The judgment is yours.
Can it prove a cause?
No. Relationship and hypothesis views support analysis, not proof of causation.
What can I cut by?
Week, month-to-date, year-to-date, category, product, brand, store and channel.
Is it live?
Live, in seconds. No overnight batch.
Proof begins with an unanswered question.
Free 6-week POC on your own data, no contract. Live in 12 to 15 weeks, end to end.