Business Problem

Inventory planning is often reactive and siloed, relying on static forecasts and disconnected data sources. This leads to stockouts, overstock, missed sales opportunities, and inefficient working capital allocation. Traditional tools struggle to adapt to fast-changing demand signals and supply chain disruptions, limiting visibility and agility.

Diwo Solution

Diwo Catalyst leverages Decision Intelligence to unify structured and unstructured data—like sales trends, supplier delays, market signals, and real-time demand inputs. It continuously analyzes this data and proactively recommends inventory adjustments at the right time and place. Whether it’s suggesting replenishment before a stockout or reallocating excess inventory across locations, Diwo delivers context-aware, explainable actions directly to decision-makers.

Business Impact

• Reduced stockouts and overstocks

• Optimized inventory turnover

• Improved forecast accuracy

• Increased service levels with lower working capital

• Greater agility across supply chain and operations teams

  

Diwo synthesizes multiple insights with business context to provide quantified recommendations in an interactive, natural language format with business levers and constraints, allowing users to see the impact of their analysis and create an action plan in minutes.

Unlike other Enterprise AI platforms, Diwo’s patented approach to DI focuses on optimizing high-value business decisions, which means time to value is realized much faster and continues to scale across other use cases.