VN1 Forecasting - Accuracy Challenge Phase 1
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Flieber, Syrup Tech, and SupChains Launch an AI-Driven Supply Chain Forecasting Competition
Participants will receive access to all relevant datasets for the Challenge upon the official launch of the Challenge. Access to these datasets will be provided to registered Participants at that time.
To get started, download the provided Phase 0 data. Use any tools or methods to develop your sales predictions and submit your CSV files within the submission period. During Phase 1, monitor your ranking on the leaderboard to see how you’re doing. You will also find a function designed to test a few simple forecasts, which you can use to get started. In each phase of the competition, participants will receive separate CSV files containing the following data:
Sales Data (Phase X - Sales.csv): Number of weekly units sold.
Inventory Data (Phase X - Inventory.csv): This CSV contains the number of days per week with positive inventory ending positions. It indicates the availability of each product, which can be used by participants to adjust historical sales based on stock constraints.
Price Data (Phase X - Price.csv): The price CSV file lists product pricing information based on actual transactions. Note that you won’t see prices if there is no product transaction in a specific week.
Participants in this datathon are tasked with accurately forecasting future sales using historical sales, inventory, and pricing data provided. The goal is to develop robust predictive models that can anticipate sales trends for various products across different clients and warehouses. Submissions will be evaluated based on their accuracy and bias against actual sales figures. The competition is structured into two phases.
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