A real supply chain operation was buried in manual email checking, document parsing, ETA calls, follow-ups, and spreadsheet reporting. Here's exactly what we built, how it works, and what changed.
A supply chain and logistics operation managing supplier communication, inbound documentation, and shipment tracking across multiple vendors. Client name and identifying details are withheld per standard confidentiality practice — the workflow, agents, and results below are accurate to the real engagement.
The operation's core systems — ERP and TMS — worked fine. The problem lived in the space around them. Every morning, staff opened a stack of supplier emails to check order status by hand. Invoices, purchase orders, and shipping documents were parsed manually, with line items copied into spreadsheets one at a time. Tracking shipment ETAs meant calling suppliers directly, since there was no automatic way to know a delay was coming before it had already happened. When a supplier missed a deadline, it only got caught if someone happened to remember to follow up. And at the end of each week, all of this scattered information was stitched together by hand into a report that was already a few days stale by the time anyone read it.
None of this reflected a failure of the underlying systems. It was manual translation work that existed purely because nothing automatically bridged the gap between inboxes, documents, and the systems of record.
Rather than a platform overhaul, we scoped this as five narrow, fixed engagements — one workflow at a time, each expanded only after the previous one proved valuable.
Reads incoming supplier emails automatically, extracts order status and updates, and pushes that information into the system in real time.
Parses invoices, purchase orders, and shipping documents, pulling out line items and matching them against existing records automatically.
Monitors supplier updates continuously, predicts arrival times, and proactively flags the team before a delay becomes a problem.
Automatically sends a reminder the moment a supplier misses a deadline, so a missed follow-up no longer depends on someone remembering.
Pulls everything from the four agents above into one real-time dashboard, replacing the patchwork of spreadsheets reconciled by hand each week.
Built using AdBinary's standard AI agent approach — LLM-based document and communication understanding rather than rigid templates, so the agents tolerate the kind of formatting variation that breaks older rule-based automation. None of the five agents replace the client's existing ERP or TMS; they sit around those systems and absorb the manual translation work between them.
The team wasn't removed from the process — they were freed from the part of it that never needed a person doing it in the first place. Reading, copying, calling, and re-checking disappeared. Managing the genuine exceptions each week — the ones that actually need human judgment — is what's left.
This is a real engagement. The client's name and identifying details are withheld per standard confidentiality practice, but the agents, workflow, and results described here are accurate to the actual project.
We keep client names and identifying operational details confidential unless a client specifically agrees to be named. We're happy to discuss the general scope and approach in more detail on a call.
Each agent was scoped and delivered as a fixed, narrow engagement, starting with the most painful workflow first. Most individual agents took 2-4 weeks, with the full set of five built incrementally as each prior one proved valuable.
Yes. The underlying pattern — agents that read communications, parse documents, track time-sensitive events, and report in real time — applies anywhere similar manual work exists, not only in supply chain operations.
Cost depends on scope, but each agent was priced as a fixed, narrow workflow rather than a large platform engagement. A free automation audit gives an exact estimate for a specific operation before any commitment.
We'll review your workflow and show you exactly which agent to build first and what it would cost. No commitment, no sales pitch.
Most clients start with one agent and expand from there.
We'll review your operation and show you what can be automated — no sales pitch.
We reply within 24 hours. No sales pitch — just a review of what can be automated.