Sena Decision AI shows fashion and apparel teams what reached the floor, at what price, and why shoppers switch. Every figure traces to a store photo, a shopper answer, or the team's own files.
Fashion analytics usually starts with sell-through and markdown reports. On the sales floor, a missing color, a rival's lower price, and the look beside it decide what sells at full price.
The assortment plan sets which styles and colors each store shows. The sales floor shows which of them a shopper can find.
Sena:Sena captures geo-verified photos store by store and confirms each style and color against the plan.
The markdown calendar sets price by week across the fashion retail industry. Shoppers judge that price against the rival rack nearby.
Sena:Each photographed price tag sits beside the plan price and the rival label's price on the same floor.
Sell-through shows what sold. The reason sits with the shopper: fit, price, the look, or a rival label.
Sena:Sena captures why shoppers chose a piece, what they compared, and what would make them switch, by segment and market.
Fashion analytics from the floor and the shopper settles these four decisions.
Sena captures a geo-verified photo in each store on the plan and confirms each style and color against the floor set.
Decides:Which stores and regions get a floor-set fix first.
See supply chain decisions →Sena reads the price tag in each photo, beside the markdown plan and the rival's price in the same mall or street.
Decides:Where to hold full price and where to mark down.
See revenue and pricing decisions →Shoppers state which labels they compared, whether fit or price decided it, and what would make them switch, by segment and market.
Decides:Which fit, price, or message wins the shopper back.
See marketing decisions →For each piece in the test line, shoppers in the target market name a fair price and the item in their wardrobe it would push out. Sena reads the floor the line will join.
Decides:Which pieces make the buy, at what price, and in which market first.
See innovation decisions →Sena ties every figure to the photo or answer behind it, so a team checks each store against its own sell-through.
Each floor and price reading carries its photo, location, and date. Each style-color joins the count when a photo shows it on the floor.
Each fit, price, or label reason comes from a shopper who chose to share it. Every capture clears a multi-level QA flow. Sena declines a capture that misses the check, and the decline stays visible.
Apparel retail industry analysis of the floor starts with two counts: the style-colors on the assortment plan and the style-colors a photo confirms. The second count comes from floor photos, with the gap split by store, region, and category.
The floor gap calculator shows the missing style-colors and the monthly sales at stake.
A walkthrough runs Sena on one category in one market, from floor photo to the buy decision.
Pick the closest fit, and the walkthrough starts from that team's question.
Fashion retail analytics on what reached the floor, store by store.
Book a merchandising walkthrough →Shelf price and markdowns against the rival, by store and region.
Book a pricing walkthrough →The fit, price, or look that makes shoppers pick a label.
Book a marketing walkthrough →Fashion trend analysis and line tests, judged by shoppers in the target market.
Book a product walkthrough →Sena captures geo-verified photos and consumer activity in the markets a question names, when the question needs it.
Sena reads those captures beside the files and systems already in use, across 250+ integrations.
Sena compares the market against the plan and shows each gap, with every figure traced to its source.
| Area | Common method | Sena |
|---|---|---|
| Floor presence | Store reports and apparel retail industry analysis | Geo-verified photos confirm each style and color |
| Shelf price | The markdown calendar on paper | The price tag in each store, beside the rival |
| Shopper choice | Sell-through by style | Shoppers state why they picked a label or switched |
| Line tests | Fashion trend analysis and buyer instinct | What shoppers in the target market would pay |
| Auditing | Sell-through, floor-set, and markdown reports matched by hand | Each floor figure links to its store photo or shopper answer |
Talk to the Rwazi team about one category, one market, and the decision on the table this quarter.