assortment-optimization
(5)
QL2 knows the price. The trick is knowing the product.
A cheap rival can be an expensive illusion. QL2 collects competitor data, then tackles the less glamorous question that makes pricing intelligence useful: are these really the same thing?
The 13-Week Price Problem Datasembly Cut to Three - and the Retail Playbook Worth Copying
Retail brands were still sending people into stores with clipboards. Datasembly built a live map of the shelf, raised roughly $35 million, and joined SPINS - here is where its speed advantage works, and where it does not.
Omnistream
Omnistream is an AI-powered category-management platform that helps retailers build consumer-centric, store-level planograms in minutes. Founded in 2018 by former quant trader Wendy Chen, the company integrates a retailer's sales and product data to generate assortment and shelf-space recommendations tuned to each store's local demand. Its software is deployed across 8,500+ retail locations in convenience, grocery and health & beauty, serving names like 7-Eleven, Watsons and FairPrice, and reports incremental sales gains of roughly 4-11% alongside sharp reductions in waste.
Datavations
Datavations is a New York-based, AI-powered market intelligence platform built exclusively for manufacturers and distributors in the building materials and home improvement industries. It aggregates granular, store-level and SKU-level retail data across thousands of stores to give suppliers the cross-retailer visibility they otherwise lack - helping them optimize pricing, inventory, and product assortment, and walk into merchant meetings armed with data their retail partners don't have. Founded in 2020 by Philip Odelfelt, the company raised a $17M Series A in July 2025 led by Forestay Capital.
Profitmind
Profitmind (operated by Netail, Inc.) is a Pittsburgh-based retail decision-intelligence company that builds agentic AI to help merchandising teams make faster, more profitable pricing, assortment, inventory, promotion, and marketing decisions. Founded by retail veteran Dr. Mark Chrystal and incubated inside Andrew Ng's AI Fund/Landing AI ecosystem, its platform unifies a retailer's strategy, internal data, and external competitive signals into prioritized, explainable recommendations - serving retailers from $20M to $100B in revenue across three continents.