Optimize in-store operations and product availability using edge devices to increase visibility, efficiency & revenues
Empower your teams to take data-driven decisions
Compare similar store and category performance for OOS reduction, planogram and pricing compliance
Get real-time shelf analysis to correct shelf conditions and uplift critical KPIs
Plan better by gaining valuable instore data from thousands of stores. View real-time shelf and category sales trends to devise store level shelf strategies
Logistics & supply chain
Increase efficiency, automated alerts and aggregated real-time orders from field personnel
Provide a superior shopping experience and brand awareness
Reduce employee time in front of a shelves up to 90%
Reduce Out of Shelf / Out of Stock
Reduce costs by 50% to 75% compared to other market solutions. Our solution works offline and uses a machine learning mechanism, eliminating any human touch in the process, thus, dramatically reducing server/cloud costs
Restock on-time, improve availability and compliance metrics +1-5%
Gain actionable insights and suggestions by individual store and category level
Monetize the data working closer with your customer, making data-driven decisions
Optimize product availability to increase brand awareness, visibility and compliance at every POS. We raise red flags so you don’t need to. Independently analyze your OOS and share of shelf without depending on retailers, improve efficiency. Get the right information, see trends, plan better.
Gain real-time data for smarter insights, tracking and control. Receive daily updates on a product-by-product basis. This data can be integrated with sales and/or other data sources, offering smart insights for various measures. Enjoy tracking data, analysis and comparison of multiple store, employees categories, products, and more.
Collect, measure and analyze important data from physical shelves in real-time through our smartphone app. With our app, you get a clear understanding of what needs to be done to arrange the shelf as planned.