Business Needs

  • Reconcile Product UOM in Supplier Invoices against Retailer Receiving
  • Manage data quality lapse in multi-billion dollar payment processing with multiple suppliers with their own invoicing systems, and paper or manual invoices.

Key Features

  • A unique Data Sciences based approach using K-Means Clustering around UOM Price Clusters at multiple hierarchy levels such as Retailer, Chain, Store level.
  • Match multiple product Unit of Measure(UoMs) types to Product UoMs received at Retailer’s Stores

Benefits

  • Innovation
    • Allowed iControl to better advertise its analytics and offerings around reconciliation
  • Speed to Value
    • Low Cost end to end solution developed to dramatically increased the invoice matches in less than 3 months
  • Reduced Total cost of Ownership
    • Zero additional resources to deploy & manage Elevondata Solution
    • Annual cost dramatically less than on premise infrastructure and existing platforms

Offering Categories

By Use Case
- Operational Efficiency

Services
- Data Sciences
- Big Data Implementation
- Data Governance
- Data Modernization Roadmap
- DevOps Support


“We've been able to leverage the expertise of Elevon to support and enhance the value we bring to our customer, and we appreciate the professionalism and promptness of the terrific Elevon team.”

Mark Lopez, COO
iControl


Transactional Data Quality Analysis | Elevondata

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