Store operation
Integrate your store or, more broadly, your retail chain into a point-of-sale digitalization process to optimize your customer experience and operational efficiency.
Thanks to the integration of numerous and complementary data sources such as IOT (including sales, stocks, loyalty cards, computer vision, ESL, merchandising plans, assortment …) you will have the ability to monitor and optimize store performance on a daily basis, saving time and increasing sales.
Our modular approach, available on web, tablet and mobile, enables you to monitor store compliance with the strategic plan, rank stores on performance compared to similar stores and suggests course of action to quickly improve commercial efficiency of the store.
By tackling at the same time stores (store director, department manager), headquarters and suppliers’ sales force issues, the application responds to the different use cases of these different personas, and also enables tasks to be assigned between different stakeholders to speed up store implementation.
Benchmarking and ranking the stores’ performance compared to similar stores
This first use case is adressing performance monitoring. 4 categories of indicators are composing a global score, allowing comparison with other stores :
- performance
- price sensitivity
- supply chain
- NPS
Monitoring store performance compared to headquarters’ guidelines
This second use case aims at identifying compliance rate of stores on various topics : is the store in tune with the headquarters’ guidelines ? Five major themes are covered in this framework : - assortment : compliance with product assortment
- merchandising : compliance with planogram
- promotion : compliance with promotional plan
- price : compliance with recommended prices
- supply chain : compliance with negotiated service rates
- store maintenance
Suggest actions to be taken to improve the store's commercial efficiency
In this third axis, for each store, actions are identified and proposed to the different personas, with an associated incremental gain potential.
These tasks are categorized by theme (the six preceding themes) and identified by product category. This enables the store manager, for example, to prioritize the actions to be assigned to his teams according to the store's earning potential and performance, understand the rationale behind the proposed task, and very quickly be able to carry it out or archive it.
For headquarters, the aggregation of data will identify priority levers by region, category and store, enabling them to implement a corrective action plan and interact effectively with the various regional or local managers.
All in all, the aggregation of diverse data sources encapsulated in a multidevice application offers stores and headquarters a disruptive tool for improving the customer experience and commercial efficiency on a daily basis, by working on all the levers available to a store. By using this technology intelligently, food retailers can not only optimize their operations, but also better respond to their customers' needs, resulting in greater efficiency, higher profitability and greater customer satisfaction.