eLeader Shelf Recognition AI is a solution enabling field representatives to report on product shelf display and price based on intelligent image recognition. The results arrive within the time of the visit. This is why the representative can react instantly using reliable data. The functionality of eLeader Shelf Recognition AI can be smoothly expanded by any processes used in the field (surveys, promotion audits, route planning, training, perfect store). You need to know that at your fingertips, you have the most functional tool of its class available on Android and iOS mobile platforms. While a manual audit of a product shelf takes about 20 minutes in a modern trade store, Leader Shelf Recognition AI needs 90 seconds to take photos of the display. Main advantages and benefits of the product: 1. Results of a display analysis performed during one visit 2. Lower costs thanks to artificial intelligence 3. Reliable and manipulation-resistant data, shorter time of a display analysis 4. More business decisions during a visit (initiating orders, contracts, promotion audit etc.) 5. Swift implementation 6. The most extensive functionality in the world (thanks to native integration with eLeader Mobile Visit SFA/FFM system) 7. No more inspection visits of supervisors 8. Artificial intelligence consumes the computing power of machines, but saves human energy Functionalities: Adjustment of the display to standards Regardless of how merchandising standards are formulated, eLeader Shelf Recognition AI will be able to read them and analyze where the display needs to be improved. Sample parameters include the number of faces, the immediate vicinity or the shelf number. Adjustment of the display to the planogram If a planogram has been developed for a given store (e.g. created with JDA Space Planning), eLeader Shelf Recognition AI is able to compare the display with the valid template and indicate which products on the shelf need to be added or rearranged in order to achieve full compliance. Identification of competitors’ products Your own expositors are an ideal place to sell products and promote your brand. It is no good when competitors’ products can be found in them. Our solution can detect it and inform the user that e.g. in the refrigerator there is an unwanted product. Automated surveys The reasons for the lack of products on the shelf or other concerning (or just interesting) situations can be diagnosed through triggering a survey at the right moment of a visit. This fully automated functionality facilitates better understanding of the situation on the market. Perfect Store&Visit The requirements for a specific display in a specific store can be expressed as KPIs. Using Perfect Store methodology to fulfil them increases the effectiveness of visits. eLeader Shelf Recognition AI accelerates and automates the stage of gathering display-related data for the purpose of measuring and improving the KPIs of the store, employee or visit. Orders The absence of a product from the shelf is usually a signal to place an order for it. Identification of such a lack may be a designed condition for adding the product to the shopping cart automatically (also in a pre-defined form calculated based on the history of orders). Promotions An example of applying eLeader Shelf Recognition AI in a broader context is the functionality of checking the possibility of rewarding a shop as part of an internal promotional campaign or a loyalty program. All you need to do is to supply the module with the relevant data on display, while the system, based on the photo taken, will calculate the products and determine the possibility of rewarding the store manager. Automated control Good news for auditors and managers! eLeader Shelf Recognition AI practically eliminates the need to conduct audits in stores. Thanks to the photographic documentation and flow of tasks necessitating such checks and corrective measures like surveys or negotiations, inspections can be limited only to special occurrences, often without the need to visit the store. Audit of promotions The monitoring of promotional campaigns can be automated. The system verifies the products covered by a special offer valid for a given shop. In addition, the application will check the compliance of POS (POSM) materials – also by means of image analysis. Route planning Scheduling visits to particular points is a game where the winner is the one who best assesses the sales potential in their area. eLeader Shelf Recognition AI provides information about the availability of products, share of the shelf, the number of faces or meeting merchandising standards. This information is an excellent, relevant input for creating a company ranking of points that should be visited as frequently as possible, because they generate the most profit. Retail Activity Optimization (RAO) A good salesman should always know how to react to irregularities during a visit or further improve good sales results. eLeader Shelf Recognition AI provides quantitative data for comparison, e.g. with three previous visits, detects non-execution of contracts or product shortages. The solution allows for planning visit scenarios in such a way that suggested corrective actions and relevant contextual materials are suggested to the salesman at the moment they are needed. For example: the lack of a product on a particular shelf during the third visit means that the shop manager should be interviewed in order to ensure that contractual obligations are fulfilled or to change the terms of the contract so that the store can meet them. Information on competitors Reports do not only serve the purpose of providing information about the condition of one’s own products, but can also say a lot about the competition. Through recognition of the brands of the competitors, we will receive information on the share of shelves and trends.