Retail pricing and analytics managers need faster competitive insights and higher granularity than what is available via syndicated market data.
"Nielsen hasn't changed in 7 years. This has been long overdue."
- Datasembly Customer
Maximize revenue with comprehensive competitive product analytics built to optimize pricing, promotions, and assortment. Access competitive online and on-shelf product data in real time, with store-level detail.
- Datasembly Customer
Datasembly's comprehensive product data allows retailers to identify better price points up to 4X faster than what is possible through syndicated or aggregated market data sources.
The Datasembly engine collects and updates pricing, promotion, and product availability data in near-real time from both online and in-store offerings. With this level of speed, and comprehensive access to both owned and competitive products in the market, you can set and maintain more competitive price points.
Highly granular geo-filters allow you to find and track products across specific stores or regions, so you can set optimal prices and promotions.
Analyze and compare pricing between single stores, sets of stores, or regions of any size, so you can build and maintain a more effective local pricing strategy. Know exactly how to price your products so they can take market share without sacrificing margin.
Manage supply chain needs and optimize competitive assortment with timely product availability updates and granular detail.
Keep a close eye on product availability and assortment with custom stock status dashboards and metrics in the Datasembly platform. Product data updates with enough time and detail to make changes in near-real time, saving you and your organization time and money.
Explore real-time pricing, promotion, and availability data across thousands of products in the grocery sector - all for free, and 100% self-service.
Get a guided tour of the Datasembly platform, where we'll show you how everything works using a custom competitive dataset of your choosing.
With one look at your solution, it was clear that there isn’t anyone even close to the collection and scale of Datasembly.
Datasembly Customer