Holiday toy execution
Snap2Insight gives toy brands a store-level digital record of what really happened at shelf, display, and end-cap — before the season is over.
30s
Field results
12h
vs. corporate analytics
30k +
Retail doors
60% of all U.S. toy sales happen Oct–Dec. The typical lag before brands see shelf reality is 4–6 weeks.
60%
of U.S. toy sales happen Oct–Dec
$30B+
spent on holiday toys in the U.S. annually
4–6 wks
typical lag before brands see shelf reality
By the time the report lands, the season is over.
Across 30,000+ U.S. retail doors, Walmart, Target, Costco, Kroger, your planogram lives or dies one store at a time.
Shoppers can’t find it. Sales go to competitors.
Lost impulse. Lost traffic. Lost revenue.
They win visibility. You lose the moment.
Shoppers hesitate. Conversion drops.
Built for the toy category — trained on toy boxes, not soda cans. AI custom-trained on 50,000+ toy SKUs.
1
Field rep photographs the shelf. Works offline, 30,000+ doors.
2
Toy-tuned AI identifies every SKU, seasonal swaps and variants.
3
OSA, POG compliance %, OOS count, share of shelf, price accuracy.
4
Dashboard, API, or daily exec digest. Fix it before the season ends.

Monitor shelf availability, pricing, promotions, displays, and competitor activity through AI-powered image recognition, giving your team instant visibility instead of waiting weeks for reports.

Built on proven AI-powered retail execution technology and adapted to solve the unique challenges of toy merchandising.

Field teams simply capture shelf images, and your team receives automated reports, alerts, and dashboards that help improve execution throughout the season.
Pilot Snap2Insight in 30 days across any banner, any retailer, any toy category.