The Most Advanced Image Recognition Assistance In The Market
Increased in-store brand visibility and per-store sales for CPG manufacturers
On-shelf execution insights, at scale, across 100+ categories in 400K+ stores
On-the-spot merchandising actions delivered to your field force within 60 seconds
Real-time source of competition data for category-level strategies
Optimization of trade marketing payouts & per-store level personalized sales plan and pricing offers
Critical on-shelf metrics such as On-Shelf Availability, Share of Shelf, etc. at a brand & SKU level.
More than 97% accuracy in insights from both modern and general trade stores.
Execution metrics and shelf-level data are made available to your field force within 2 minutes of uploading the in-store images.
Store-level action plans and recommendations enable merchandisers to fix execution issues on the spot.
Identify stores with low Share of Shelf (SOS), and prevent Out Of Stocks (OOS) in real-time.
Monitor planograms, stock availability, displays, facings, and brand-level visibility.
Optimize the quantity and SKU mix of various assortments for better distribution across different geographical locations.
Sales actions and competitor analysis to improve SKU penetration based on demand data.
Monitor store-level promotional compliance to determine appropriate store payouts.
Track field force activity and empower them to achieve 100% compliance in every store visit.
Keep track of current trends and changes in consumer behavior to ensure your product offerings align with market demand.
Utilize digital technologies such as Image Recognition AI, Machine Learning, Computer Vision, Data Analytics, etc. to improve your supply chain and distribution operations, and to connect with consumers.
Look for ways to improve efficiency and reduce costs throughout your supply chain, from sourcing raw materials to delivering products to retailers.
Real-time retail execution insights using image recognition technology can greatly benefit CPG brands in becoming category leaders in on-shelf metrics.