A leading retail apparel & fashion brand based in US was looking for ways to simplify its vendor invoice processing. Every invoice that they received in the shared mailbox had to be opened, checked, matched against purchase orders, and manually entered into internal systems.
A leading retail apparel & fashion brand based in US was looking for ways to simplify its vendor invoice processing. Every invoice that they received in the shared mailbox had to be opened, checked, matched against purchase orders, and manually entered into internal systems. And due to growing volume of vendor invoices & purchase related transactions, they had to face several operational issues. What changed that was an AI-Powered solution that automated the end-to-end workflows. By taking care of the entire process - from picking up invoices as they arrive in shared inboxes, to extracting the relevant data, validating it, matching it against purchase records, and surfacing anything that needs a human decision, it led to faster and more accurate invoice processing operations.
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USA
Retail Apparel & Fashion
The client is a large-scale apparel & manufacturing company. Day in, day out they manage activities like vendor procurement, fabric sourcing and order processing across several business units. Running operations at scale means dealing with a constant stream of vendor invoices — and for this company, that stream had grown into something their existing process just couldn't handle effectively. They received invoices in shared email inboxes, often as PDFs or image attachments, each formatted differently depending on the supplier. Staff had to dig out the details manually, verify them against purchase orders and garment records, and then put everything into internal systems. The process worked, but it required significant effort and became harder to manage every time the business picked up more vendors or SKUs.
DEV IT partnered with the client to rebuild the process from the ground up. Using AI and workflow automation the aim was to cut out the repetitive steps and give the team back time for work that actually required human judgment.
The client’s invoice processing operations depended almost entirely on manual effort, which made it increasingly difficult to keep up as volumes grew.
Manual Data Entry: Staff were extracting invoice details from PDF and image attachments by hand — a time-consuming process that left plenty of room for errors to creep in.
Unstructured Email Inflow: The Invoices from multiple vendors arrived in a shared mailbox with no automated routing or attachment handling. Also, it did not involve any classification or prioritization.
Slow order matching: The teams had to verify invoice data against purchase orders and garment records. And for this, they had to switch between different disconnected systems manually.
Limited visibility: Once an invoice was submitted, tracking where it was in the process or checking its status was very tough.
Growing Workload: More business meant more invoices. And more invoices meant more manual hours. The process didn't scale — it just got heavier.
Time-Consuming Verification: Reviewing and signing off on invoice details often took up a disproportionate share of the team's day.
See how our custom enterprise AI solutions eliminate process bottlenecks, reduce operational overhead, and scale business capability.
Explore more case studyDEV IT built an intelligent invoice automation system that takes over the repetitive, high-volume work the team had been doing manually. Instead of people monitoring inboxes, copying data fields, and running lookups, Microsoft Power Automate handles all of that on its own — keeping invoices moving without delays or bottlenecks.
Invoices received via email are captured automatically, organized into vendor-specific Google Drive folders, and pushed through the extraction pipeline. Azure Document Intelligence pulls invoice numbers, purchase order references, garment details, quantities, pricing, and line-item data — then a .NET scheduler service matches it against internal records to flag discrepancies or confirm a clean match.
An Angular-based verification portal gives the team a fast, clear view of what's in the queue. Staff can review flagged invoices, correct anything that needs it, and track each one through the process without chasing emails or digging through systems. Automated workflow tracking runs throughout, which also improves visibility into where exceptions are occurring and why.
The results were hard to argue with: manual processing effort fell by 99%, data accuracy improved by 95%, invoices moved through considerably faster, and for the first time, teams had genuine visibility into how the workflow was actually running.
The automation is now part of the client's daily operations. Their teams spend less time on the administrative side of procurement and more on decisions that actually move the business forward. The platform has also given the client a solid base to build on. As business volumes grow, the system handles the increase without a corresponding rise in overhead. And because the architecture is designed for expansion, it's already being looked at as the foundation for extending intelligent automation into other finance and procurement processes — not just a one-time fix, but a long-term shift in how the business operates. For them, AI hasn't just improved a workflow; it has changed the way the team thinks about what's worth automating next.