NDA·2023
The Service Platform for Food Distributors
The client had an idea for a food service platform to collect the leads for the food suppliers and distributors. The main idea was to collect the info about the restaurants and then use the data to calculate the possible contract values. Dataforest created the web solution using complicated data parsing and processing logic alongside the backend development of the solution itself.
Challenge
To find the best way to collect all info about customer’s preferences to provide the highest quality service and build the optimal tracking system for customer behavior.
Solution
We’ve built recommendations and the customer behaviour tracking systems utilizing advanced analytics, Face Recognition, Computer Vision and AI technologies. The system tracks: - clients’ lifestyles, hobbies, marital status, number of kids, and their age; - clients' activities at the club; - customer behavior; - favorite food items, tables, restaurants, time periods, etc. - areas of the club where clients prefer to spend time together. The system enables the administrator/waiter to offer the clients their constant preferences, as well as predict their wants and needs (eg. knowing in advance that the client wants to order fish after playing golf, the waiter offers the preferred white wine at a special price). The solution is built using Computer Vision, a distribution and recommendation system that allowed club staff to build customer loyalty, as well as create a top customer experience.
Results
The web solution is now being integrated with 5 different data sources, already has data from +1 million restaurants, and has +55 million menu items in the database. Nevertheless, Dataforest's way of building the solutions addresses all the possible sluggish performances — the solution works fast and precisely. The optimized filtering process and slick and user-friendly UI design are comfortable even for non-tech users. The solution's main great idea, the LTV service, was realized by implementing stable and efficient data source connections. As a result, the LTV calculation takes a mere 20 minutes; the process is highly transparent and understandable with the new Admin Endpoint, which returns a step-by-step calculation report.
Technologies & Tools
PythonReactJSDRFPandasAWS
The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.
Christopher Loss, CEO Dayrize Co, Restaurant chain
Project Details
Year
2023
Duration
4
Budget
$25K – $50K
Team Size
5 people
