01Starts here
Shop-floor trading
Takings, bills, baskets, offers, shops, staff and busy hours from the sales your counters recorded.
What your retail business is telling you.
Multi-city apparel chain · 35 shops · 6 cities30 June 2026 to 29 July 2026
Read the business at chain, region and shop level across four trading windows. Add Online and Shopper demand to place completed sales in context.
What do you need your retail business to explain?
Choose a question to set the relevant source, scope and period, then go straight to the evidence behind the answer.
Owner / retail head
Retail operations
Merchandising
Store manager
Change the source, scope or period at any time to examine a different retail view.
Start with completed sales. Add the signals around them.
Each source answers a different class of question and expands the retail picture.
02Adds a channel
Online commerce
Channel comparisons, cross-channel buyers, delivery geography and cities already buying without a store.
03UONEX signal
Nearby shopper demand
Searches near your shops, the share your shelf answered and the demand your current range could not match.
What this business has connected
Which scope to read
Which period to read
Panels that need another source remain visible and clearly marked, so you can see what becomes available before connecting it.
What this business has connected
Counters, bills and offers from your shops' billing systems. Everything below is read off documents your own shops produced.
The window
30 days, against the 30 before them
Net taken
₹7.41 Cr
26,808 bills · 51,287 items+9.7%
Bills
26,808
51,287 items sold+9.4%
Average bill
₹2,764
1.91 items a bill
Buyers who came back
34.5%
Recognised across every shop from the identity on the bill, so one shopper in four shops is still one shopper.
The split behind that total
Needs Online
Connect Online to read this
See how net takings split between stores and online, with each channel's value and share.
The two channels, measured the same way
Needs Online
Connect Online to read this
Compare the same measures on both channels. Read basket size and value per item together before deciding whether a difference needs attention.
Where the money went
Ticket price
₹9.69 Cr
Discounts and offers
−₹1.80 Cr
Tax
−₹47.3 L
Net taken
₹7.41 Cr
This stops at net taken. Purchase cost, card fees and delivery charges are unavailable, so UONEX does not estimate them. The figures reconcile with the offers table below.
Given awayNet taken
This stops at net taken. Purchase cost, card fees and delivery charges are unavailable, so UONEX does not estimate them. The figures reconcile with the offers table below.
What Shopper demand addsNeeds shopper demand
See which nearby searches the current range could not match.
With Shopper demand connected, UONEX can compare nearby searches with reported shop availability and show where interest remained unanswered.
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Keep following the evidence through the business.
The guided answer is only the beginning. Continue through time, channel, category, territory, shop floor, offers and nearby demand using the same source-aware rules.
Over time
Each point is a business day on the shop's own calendar
Net taken
Net of returns. Each point uses the shop's local business date.
Bills
Net taken — online
Needs Online
Connect Online to read this
Both channels, side by side
The same measures on each, so they can be compared directly
How the category mix differs online
Needs Online
Connect Online to read this
The bar is the online category share; the mark is the shop-floor share. A wide gap is a reason to review local assortment, availability and preference.
Size cut — in-store
XSSMLXLXXL
Read in their own order, not by how much each sold — the shape is what this is read for.
Sizes stay in their natural order so gaps remain visible. Read store and online patterns together, then check whether fit, availability, assortment or channel preference explains a difference.
Size cut — online
Needs Online
Connect Online to read this
What carries the business
Ranked by what it took, never by what it cost
What sold
Shirts 12,685 units | ₹2,25,14,134 |
Outerwear 11,034 units | ₹1,60,29,743 |
Denim 5,304 units | ₹1,08,59,926 |
Trousers 7,880 units | ₹75,85,809 |
T-Shirts 3,960 units | ₹63,38,246 |
Polos 6,608 units | ₹57,63,412 |
Knitwear 2,891 units | ₹36,69,724 |
Not described 925 units | ₹13,33,706 |
Categories come from products matched by barcode. Shares include only matched items, and rankings exclude cost because these sales contain no cost field.
The styles that carried it
| Net taken | |
|---|---|
Washed Denim Jacket Outerwear · 4,056 units | ₹93.3 L |
Selvedge Jean Denim · 3,534 units | ₹82.7 L |
Linen Resort Shirt Shirts · 2,775 units | ₹69.0 L |
Camp Collar Shirt Shirts · 3,153 units | ₹63.8 L |
Poplin Formal Shirt Shirts · 3,658 units | ₹48.2 L |
Utility Shacket Outerwear · 3,588 units | ₹44.3 L |
Corduroy Overshirt Shirts · 3,099 units | ₹44.1 L |
Slim Chino Trousers · 3,267 units | ₹40.2 L |
Textured Polo Polos · 3,695 units | ₹32.6 L |
Merino Half-Zip Knitwear · 2,292 units | ₹32.0 L |
Oversized Heavy Tee T-Shirts · 1,454 units | ₹28.9 L |
Graphic Crew Tee T-Shirts · 1,943 units | ₹26.6 L |
Ranked by what each style took across the window.
When the counters are busy
Use bill patterns to review staffing coverage
When the counters are busy
| 11a | 12p | 1p | 2p | 3p | 4p | 5p | 6p | 7p | 8p | 9p | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Mon | |||||||||||
| Tue | |||||||||||
| Wed | |||||||||||
| Thu | |||||||||||
| Fri | |||||||||||
| Sat | |||||||||||
| Sun |
Bills, not takings. Use this pattern to review staffing coverage across the trading day. Times are the shop's own.
The last full day
The most recent complete day against that weekday's usual hourly shape. It remains fixed when the comparison window changes.
When the counters are busy
Fri takes 20% of the week's money, and its busiest hour is 7pm. Together, they show when staffing coverage matters most.
Where the chain trades
Every shop against every other
By city
Mumbai
7 shops₹1.64 Cr
Delhi
7 shops₹1.53 Cr
Hyderabad
6 shops₹1.42 Cr
Bengaluru
6 shops₹1.00 Cr
Pune
5 shops₹97.3 L
Lucknow
4 shops₹85.4 L
Compare every city on the same scale to distinguish isolated movement from a broader chain-wide pattern.
Takings and returning buyers
Each dot is a shop, comparing net takings with returning buyers. The dashed lines mark the middle shop on both measures.
Every shop
Showing the 10 largest of 35 shops by takings.
| Shop | Bills | Average bill | Like-for-like | Net taken |
|---|---|---|---|---|
Larkspur Mall DEL-01 · Delhi | 1,141 | ₹3,413 | +11.3% | ₹38.9 L |
Harbour Point BOM-02 · Mumbai | 1,224 | ₹3,058 | +18.6% | ₹37.4 L |
Thornbury Centre LKO-03 · Lucknow | 1,413 | ₹2,475 | +13.6% | ₹35.0 L |
Fairlane Mall HYD-01 · Hyderabad | 1,673 | ₹2,077 | +16.8% | ₹34.8 L |
Pelham Arcade BOM-05 · Mumbai | 1,314 | ₹2,281 | +16.2% | ₹30.0 L |
Ashgrove Central BLR-02 · Bengaluru | 990 | ₹3,008 | +8.4% | ₹29.8 L |
Calder Mall DEL-07 · Delhi | 887 | ₹3,285 | +8.8% | ₹29.1 L |
Halcyon Walk HYD-04 · Hyderabad | 1,003 | ₹2,690 | +6.3% | ₹27.0 L |
Northgate Mall BOM-04 · Mumbai | 1,068 | ₹2,435 | +0.9% | ₹26.0 L |
Kilnworks PNQ-02 · Pune | 836 | ₹2,958 | +11.5% | ₹24.7 L |
Shops that opened inside the comparison window are marked new rather than given a like-for-like number, so total growth is not mistaken for comparable-shop growth.
Where the chain trades
3 of 34 comparable shops took less than in the previous window. Use the table and returning-buyer plot to see whether the movement is broad or isolated.
What discounts gave away
Every offer, and what it gave away
Offers
| Offer | Units | Net taken | Given away |
|---|---|---|---|
MONSOON 40 Percentage | 7,796 | ₹1.13 Cr | ₹75.1 L |
BUY 2 GET 1 — TEES Multi-buy | 3,949 | ₹57.1 L | ₹28.1 L |
CLEARANCE 60 Markdown | 2,103 | ₹30.4 L | ₹45.6 L |
FLAT 30 — DENIM Percentage | 3,077 | ₹44.5 L | ₹19.1 L |
WEEKEND BUNDLE Bundle | 1,846 | ₹26.7 L | ₹8.9 L |
LOYALTY 15 Percentage | 1,436 | ₹20.7 L | ₹3.7 L |
| Sold at plain price | 31,080 | ₹4.49 Cr | — |
What each offer took, and what it gave away against the ticket price. What it cost you to supply is not here.
How it was paid
₹7.41 Cr taken
Share of all money tendered
UPI45% · ₹3.35 Cr
Cash21% · ₹1.52 Cr
Credit CardCard17% · ₹1.27 Cr
Debit CardCard12% · ₹88.2 L
Gift voucher3.8% · ₹28.2 L
MEAL VOUCHERNot recognised1.5% · ₹11.1 L
Grouped totals
Card 29% ₹2.15 Cr
Shares divide the total shown above. Marketplace and gateway payments remain separate because they do not identify the shopper's underlying payment method.
Demand around your shops
What shoppers nearby were looking for — and whether you had it
Connect shopper demand to read this
Demand against shelf
Needs shopper demand
Connect shopper demand to read this
Nearby searches matched with reported shop availability over the selected window. The gap is demand the available assortment could not answer.
The gap, term by term
Needs shopper demand
Connect shopper demand to read this
Ranked by unanswered searches. A term with nothing stocked against it is a category you do not carry, not a shortage.
What your shelf could answer
Needs shopper demand
Connect shopper demand to read this
Of every search near one of your shops, how much of it your range could actually answer.
When shoppers were looking
Needs shopper demand
Connect shopper demand to read this
Searches can continue outside trading hours—a pattern a billing system cannot report.
Demand against takings
Needs shopper demand
Connect shopper demand to read this
Money taken across, share of nearby demand answered up. Bottom-right is a strong-taking shop whose current range still leaves much of the surrounding interest unanswered.
One retail picture. Different decisions.
Business owner
Where is demand going unanswered across the chain?
Compare shops, territories, channels and nearby demand before deciding where to focus.
Retail operations
Which store needs attention—and why?
Separate timing, execution, assortment and repeat-visit signals instead of treating every decline alike.
Store manager
Where should this floor focus today?
See busy hours, size breaks, basket shape, staff patterns and styles with enough momentum and stock depth to bring forward.
Merchandiser / buyer
What nearby demand is the current range not answering?
Read sales depth alongside nearby shopper interest before changing assortment or moving stock.
What this view leaves out
A metric is only as reliable as the field behind it. Here is what UONEX leaves out of this view, and why.
No profit, and no cost-based margin
These sales lines contain no purchase cost, so UONEX leaves out contribution profit, cost of goods and gross margin.
No conversion rate
Without a door counter there is no reliable visit denominator. UONEX leaves conversion out rather than presenting an unsupported estimate.
No sessions, referrers or landing pages
Sessions, referrers and landing pages require a digital analytics source. UONEX shows them only when connected data supports them.
No lifetime value before its time
Cohort curves need sufficient history. Until then, UONEX limits the view to repeat behaviour the available record can support.
The analysis above follows the same source-aware rules UONEX applies to connected retail data.