Case Studies
What's The VALUE

Customers often ask how to measure the value of a process automation project. That’s a reasonable question. Depending on the scope, these projects can represent a significant investment in resources and time. You want to make sure you’ll receive a reasonable return on that investment, just as you would with any other purchase.

If you want to ensure you get value from your project, you need to start with a clear picture of the problem you’re trying to solve, the benefits you expect to receive, and whether those benefits are worth the investment. Here are three examples of projects we’ve completed for customers. Each one started off with a discrete, well-defined problem statement with clear, identifiable benefits.

Supply Chain Reconciliation

PROBLEM:  A customer came to us because they were having trouble reconciling their transactions with their supply chain vendors.  Receipt confirmations and ASNs were often missing or incomplete.  It was also a challenge to reconcile the amounts paid to the vendors against the amounts charged on the original invoice.

SOLUTION:  We reviewed all of the systems involved and built a process to extract the data needed to reconcile the supplier transactions.  The data is loaded into Excel, which generates a formatted report.  All of the data needed to reconcile vendor transactions is now available in a single place.

Shipping Quantities

PROBLEM:  Another customer reported issues when packing products for customer delivery.  Products were sometimes miscounted, or placed in the wrong container.

SOLUTION:  Our solution was to integrate a camera into Microsoft’s Vision AI and train it to recognize part numbers and calculate the number of products in the container.  The quantity data is now accurate and their customers are receiving the correct products in the correct quantity. 

Purchase Order Reconciliation

PROBLEM:  Our customers had no way of reconciling their purchase orders against vendor invoices to ensure that the quantities of products they received matched what they had ordered.

SOLUTION:  The data needed to address this issue resided in three different repositories.  We built an application to extract this data from those repositories and provide a report that accurately displays order and receipt information.  The customer now has a perfect view of inconsistencies in this data. 

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