We are a thirty-person distribution company. Our warehouse runs fine, but our back-office team is buried under physical purchase orders that need to be matched against our bills of lading. How do we set up an AI workflow to handle this matching process without hiring a custom developer?

Question

Tyler Smith · Accepted Answer

You do not need a custom developer or a massive software budget to solve this bottleneck. A thirty-person company should leverage existing, low-code automation tools that integrate directly with your email and document storage. Start by mapping this specific micro-process. Identify exactly where the purchase orders and bills of lading arrive, which is usually a shared inbox. Use an off-the-shelf document processing AI tool to automatically read these PDF files. These tools can extract key data points like purchase order numbers, quantities, and line-item prices with high accuracy. Next, set up a simple workflow that compares the extracted data against your bills of lading. If the numbers match within an acceptable tolerance, the system can automatically flag the order as ready for invoicing. If there is a discrepancy, the system must route the document directly to a human seat on your Accountability Chart for review. This keeps your team focused only on the exceptions rather than manually reviewing every single document. By using this approach, you prove the value of AI in a single, high-friction administrative area without taking on any development risk.