Grosa
Grosa is a comprehensive solution for on-shelf product availability and real-time in-store resource management developed by Softline Digital (Softline Group). The platform, based on Big Data and Machine Learning, helps stores quickly detect and resolve issues with missing or improperly placed products, leading to increased sales and enhanced customer experience. Grosa optimizes workflows by directing employees to priority tasks and freeing up management resources.
Availability
Improves product availability on the shelf using AI
Key Products
Preserves sales of key products
Employees
Focuses employees on priority tasks
Resources
Frees up management resources at the point of sale
Visits
Increases NPS and repeat customer visits
Grosa solves last mile
problems for offline stores
- Physical unavailability
products not removed from warehouse, single unit, phantom stock
- Visual unavailability
shelf clutter, hidden from view, product is on a different shelf
- Quality and Pricing unavailability
expiry date passed, damaged packaging, missing price tag, incorrect price
How GROSA works
- The platform collects big data in real time
- AI-based algorithms clean and enrich data
- Machine learning models detect anomalies and create a task to fix the situation in the store
- The platform controls the quality of task performance and analyzes the business effect
- The system stimulates the adaptation of business processes and provides advisory analytics
And now for more details
An ensemble of machine learning algorithms, analyzing item/hour/store purchases, identifies hypotheses about items with an availability problem
Solution components
- BIG DATA near-online transmission and processing infrastructure
- Proprietary adaptive ML algorithms focused on turnover growth
- Online/offline mobile application for store employees and merchandisers to work off tasks with work off quality check
- Online BI analytical data system with extensive customization capabilities
- Grosa has an API and can quickly integrate with the employee tasking application on your network
