Whanalytics provides an AI‑driven analytics platform that models material flows and creates 3D digital twins of warehouse layouts to evaluate and improve manual processes before automation. The solution quantifies pick‑and‑decant costs, optimizes SKU placement, and simulates automation scenarios, delivering actionable recommendations and ROI‑focused dashboards for warehouse managers and supply‑chain leaders.
Funding
Funding not disclosed
Founders
Product
Problem
Warehouses often suffer from low efficiency, unreliable on‑time‑in‑full (OTIF) performance, and costly automation projects that are based on inaccurate process data or improper system sizing.
Solution
Whanalytics offers a data‑driven analytics platform that helps warehouse operators evaluate and improve their manual processes before investing in automation. The platform uses AI to model material flows, generate optimal stock allocation, and create 3D digital twins of warehouse layouts. By quantifying combined pick‑and‑decant costs and simulating different automation configurations, it identifies the most cost‑effective SKU groups for robotic handling. The solution also provides actionable recommendations for strengthening surrounding manual operations, such as inbound buffering and outbound consolidation, ensuring that any automation deployed delivers the expected ROI. All insights are delivered through an interactive dashboard that supports scenario analysis and data‑backed business cases for automation projects.
Target Audience
Primary customers are warehouse managers, logistics directors, and supply‑chain executives at mid‑size to large distribution centers seeking to plan or optimize automation investments.
Features
- AI‑powered slotting engine that optimizes SKU placement based on pick frequency, travel distance, and handling costs
- Data‑driven system sizing models that calculate optimal inventory allocation between manual and automated zones
- 3D digital twin visualizations for simulating warehouse layouts and automation workflows
- End‑to‑end flow analysis covering inbound buffering, decanting, order consolidation, and outbound picking
- Scenario planning tools that compare manual versus automated performance using combined pick‑rate and decant‑cost metrics
- Exportable reports and dashboards for presenting ROI cases to investors and executive leadership