Standardize supplier and vendor data
Normalize supplier information across procurement platforms to track performance and compliance.
Managing data for Supply Chains
Nexadata connects procurement, logistics, inventory, and manufacturing data into a single foundational layer for agile operations and smarter planning.
Managing data for Supply Chains
Use Cases
Normalize supplier information across procurement platforms to track performance and compliance.
Aggregate inventory data from different warehouses, retail locations, and suppliers to improve forecasting accuracy.
Combine shipping and logistics data from carriers, third-party logistics providers, and internal systems for optimized tracking.
Extract and transform procurement invoices and POs to identify cost-saving opportunities.
Standardize and track BBB data across sales orders, invoices, and production schedules to improve revenue forecasting and supply chain alignment.
Standardize bill of materials (BOMs) and production reports from different factories for efficiency tracking.
Harmonize depletion reports from multiple distributors in the liquor and beverage industry to ensure accurate demand planning.
What our Users are Saying
“The world we live in today is forcing a truly integrated end-to-end plan, source, make, and deliver process - not just in words, but in action. It all starts with a unified dataset”
Nexadata aggregates and standardizes inventory data across disparate systems: warehouses, retail locations, and suppliers, to provide clean, consistent inputs for accurate forecasting and stock management.
Yes. Nexadata ingests procurement data from ERPs, spreadsheets, and supplier portals, transforming purchase orders and invoices into standardized formats for cost analysis and reporting.
BBB stands for Billings, Bookings, and Backlog. Nexadata harmonizes this data across order systems, contracts, and production schedules to improve revenue forecasting and fulfillment planning.
Nexadata processes depletion reports and inventory snapshots from distributors, often in inconsistent formats, and outputs clean, harmonized datasets for demand alignment and sales visibility.