We securely access your inventory data and apply our proprietary algorithms to identify patterns, issues, and opportunities.
Industrial distributors face significant challenges with inventory data quality that directly impact profitability:
Leading to excess inventory and unnecessary purchases
Causing ordering errors and operational inefficiencies
Limiting searchability and hampering customer experience
Preventing cross-selling and substitution opportunities
Tying up valuable working capital
Poor inventory data quality affects everything from operational efficiency to customer satisfaction. Our Inventory Data Intelligence solution directly addresses these challenges with proven results. Find out more here.
Our comprehensive service optimizes your existing inventory by identifying data quality issues and providing actionable solutions:
Our Inventory Data Intelligence process delivers clean, standardized, and actionable inventory insights:
We securely access your inventory data and apply our proprietary algorithms to identify patterns, issues, and opportunities.
We deliver a comprehensive report highlighting duplicate SKUs, similar products, and obsolete inventory, along with tracking SKU levels for progress monitoring.
Our Inventory Commentary offers specific recommendations, such as grouping duplicate SKUs to reduce inventory levels or suggesting alternative SKUs to ensure seamless order fulfillment.
We establish ongoing monitoring to maintain data quality and provide regular updates and recommendations as your inventory evolves.
A leading industrial distributor with over $16B in annual revenue faced challenges with inventory data quality impacting their service levels and operational efficiency.
Deda’s decision intelligence solutions helped us reduce backorders by 13.6% and decrease inventory levels by 19.6% within just three months.
Global Tool Manufacturer
The company provides services to help their customers find streamlined ways of managing their strategic suppliers. They wanted to automate the data cleaning process to focus on strategic recommendations, such as reducing the number of suppliers and advising on strategic suppliers for their customers.
Our Expert Services team applied a series of rules for over 5,000 SKUs, using proprietary algorithms and large language models to enable continuous learning and self-improvement with larger data sets, incorporating their internal policies for products.
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