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Tracks pricing, promotions, and inventory across 20,000+ retailers to flag bestsellers and demand shifts for ecommerce teams.
Particl aggregates product-level data, pricing, promotions, inventory, and estimated revenue, across more than 20,000 retailers, then uses that data to surface bestsellers, emerging demand, and gaps in a brand's own assortment. It is built for product managers, merchandisers, and marketing teams at direct-to-consumer brands, with named customers including Lululemon, SKIMS, and Stanley. The company is headquartered in South Jordan, Utah, and was founded in 2019. It also publishes an integration so the same data can be queried from AI assistants like Claude or ChatGPT. Paid plans start at $250 a month after a 14-day free trial, with an annual option offering a discount.
Starter is $250/month, Essential is $500/month, Growth is $1,000/month, all after a 14-day free trial; a custom Enterprise tier is available, and paying yearly gives a discount.
Use tool ↗Particl's value is scale: it watches pricing, promotions, and inventory across tens of thousands of retailers so a merchandising team doesn't have to check competitors by hand. Named customers like Lululemon and SKIMS suggest real enterprise use, but entry pricing at $250/month puts it out of reach for very small sellers.
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