Wild Ducks is an AI-powered supply chain intelligence platform that sits on top of existing ERP systems to forecast demand, optimize inventory, and automate replenishment recommendations for every SKU. The platform recalculates planning nodes daily, identifies instability before stockouts occur, and adapts to policy changes like new tariffs within days. Wild Ducks supports both retailers with multi-location operations and manufacturers facing supplier volatility, delivering explainable, exception-based planning that reduces manual spreadsheet work.
Funding
Funding not disclosed
Founders
Product
Problem
Inventory and supply chain planning often rely on spreadsheets or static ERP reports that cannot keep pace with growing product catalogs, multi-location operations, and volatile supplier performance. Forecasts become inaccurate, stockouts and excess inventory accumulate, and planners spend more time correcting data than making strategic decisions. These breakdowns lead to expedited freight costs, missed customer commitments, and operational fire drills.
Solution
Wild Ducks provides an AI-powered supply chain intelligence layer that connects directly to a company's existing ERP system without migration or replacement. The platform continuously evaluates historical demand, supplier lead times, inventory positions, production constraints, and changing business conditions to generate daily reorder recommendations for every SKU. It identifies instability before stockouts occur, adapts to policy changes such as new tariffs within days, and flags only the exceptions that require planner attention. Every recommendation includes an explanation of the influencing factors, such as demand shifts or supplier delays, so teams can trust and act on the insights without manual overrides.
Target Audience
Wild Ducks serves retailers and distributors managing thousands of SKUs across multiple warehouses and stores, as well as manufacturers in complex environments like life sciences that depend on accurate material and labor planning tied to supplier performance.
Features
- AI-powered demand forecasting that combines historical sales with supplier performance, inventory in transit, store-level differences, and service-level targets
- Intelligent replenishment recommendations specifying what to order, when, and how much, based on lead times and operational constraints
- Multi-location inventory optimization across warehouses, retail stores, and distribution centers to balance stock network-wide
- Daily recalculation of planning nodes for every SKU, eliminating planner queues and enabling rapid adaptation to changing conditions
- Explainable AI that clarifies whether a recommendation is driven by demand, supplier, inventory, or lead-time factors
- Exception-based planning that surfaces only high-impact situations, reducing thousands of SKU reviews to a prioritized list