Missing shades lose the sale
Sell-in shows which stores bought the line. The shelf shows which shades a shopper can find.
Sena:Sena captures geo-verified shelf photos store by store and matches each shade to its SKU.
Sena Decision AI shows beauty and personal care teams which products win the shelf and why shoppers switch. Every figure traces to a shelf photo, a shopper answer, or the team's own files.
Beauty analytics often starts with sell-in and online reviews. Across the beauty and personal care industry, a missing shade, a rival's lower price, or a new launch beside it sends the shopper elsewhere.
Sell-in shows which stores bought the line. The shelf shows which shades a shopper can find.
Sena:Sena captures geo-verified shelf photos store by store and matches each shade to its SKU.
Concept scores shape the launch list. Shoppers judge a new product against the one they already use.
Sena:Sena captures what shoppers would pay for a new product and which one it would replace.
Media reports show who saw the campaign. The shelf and the shopper show whether it moved the sale.
Sena:Sena captures shelf photos in the same stores and shopper answers in the same segment, before and after a campaign.
Beauty analytics turns beauty consumer trends and shelf photos into four calls on launch, campaign, shelf, and shade range.
Shoppers in the target market state what they would pay for each variant and which product it would replace. Sena reads shelf photos of the aisle it will join.
Decides:Which shades and formulas launch, at what price, and where first.
See innovation decisions →Sena captures shelf photos in the same stores and shopper answers in the same segment, before and after a campaign, beside the team's own sales.
Decides:Which campaign earns the next budget, and which step carried the lift.
See marketing effectiveness measurement →Sena reads the products and price tags in each shelf photo, so share of shelf and price gaps show by retailer and store.
Decides:Where to defend space, correct price, or match a rival.
See category decisions →Sena reads sales files by SKU beside the shades shoppers would buy if one left the shelf.
Decides:Which shades leave the range and which stay to hold the shopper.
See SKU rationalization analysis →Sena ties every figure to the photo or answer behind it, so a team checks each store against its own sell-in.
Each shelf reading carries its photo, location, and date. A shade counts as present once a photo confirms it.
Each shade 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.
A beauty industry analysis of the shelf starts with two counts: the shade listings the plan puts in each store and the listings a photo confirms. Sena captures the second count and splits the gap by retailer, store type, and shade.
The shade gap calculator shows missing shade listings and monthly sales at stake.
A walkthrough runs Sena on one beauty category in one market, from shelf photo to the shade decision.
Pick the closest fit, and the walkthrough starts from that team's question.
Beauty consumer trends and launch tests, judged by shoppers in the target market.
Book an innovation walkthrough →Beauty analytics on a campaign, read before and after in the same stores and segment.
Book a marketing walkthrough →Shade presence and shelf space across the beauty retail industry, checked against sell-in.
Book a sales walkthrough →Shelf price against the rival, by retailer and channel.
Book a pricing 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 |
|---|---|---|
| Shade presence | Cosmetics industry data from sell-in and planogram files | Geo-verified photos confirm each shade on the shelf |
| Launch tests | Skincare industry trends and concept scores | Shoppers in the launch market state what they would pay and which product the launch would replace |
| Campaign results | Reach and engagement reports | Shelf photos from the same stores and answers from the same segment, before and after |
| Shelf price | Beauty products industry list prices on paper | The price tag on the shelf, beside the rival |
| Auditing | Sell-in and review reports matched by hand | Each shade figure opens its photo or answer |
Talk to the Rwazi team about one beauty category, one market, and the decision on the table this quarter.