A multi-supplier industrial distributor was losing orders to supplier failures and manual chaos. We built a Django platform that runs the entire order-to-delivery flow across 200+ vendor portals and 100+ warehouses with zero manual bottlenecks. Five integrated systems, 16 weeks from kickoff to production, and a five-person manual ops team redeployed to better work.
When you're routing 8–10K orders a month across 200+ supplier portals, every step that touches a human becomes a leak. The client's pre-build state was a five-person team manually reconciling orders, chasing suppliers, and reconstructing payment reports, and still losing revenue to the failures they couldn't catch in time.
A five-person ops team typing orders from spreadsheets, email threads, and phone calls into the system. Capped throughput at ~100 orders a day. Beyond that, queues built up and SLAs slipped.
Each of 200+ suppliers had its own pricing portal, its own stock format, its own quirks. Ops would tab between dozens of vendor sites just to confirm whether something was in stock today.
A failed payment or out-of-stock supplier wouldn't surface until end-of-day reconciliation, sometimes days later. By then the customer had already churned, opened a ticket, or both.
We didn't replace the team's tools. We replaced the manual workflow itself. Every order now flows through a single Django platform that handles intake, supplier negotiation, failure recovery, customer communication, and payment reconciliation without human intervention. Humans get involved only when the system explicitly escalates.
Every order auto-generates a confirmation number on submission, syncs in real time with the POS system, and is tracked end to end from placement to delivery. No spreadsheets, no status emails, no "let me check on that."
Real-time POS syncWeb scrapers pull live pricing and inventory directly from 200+ vendor portals. Supplier-specific parsers handle structural differences automatically; when a vendor changes their site, the parser logs the drift and rolls forward.
200+ scrapers · drift detectionStock issues and payment failures are flagged within seconds. The system re-routes the order to alternate suppliers ranked by price, lead time, and fulfillment history, before the customer is ever aware. What can't auto-recover escalates with full context attached.
Auto-rerouting · smart escalationCustomer notifications fire automatically at every milestone: confirmation, dispatch, delay, delivery. Supplier follow-ups run through an integrated calling system. Everything is logged and traceable.
Milestone notificationsPayments matched against bank entries automatically, mismatches surfaced in real time instead of at month-end close, daily reports generated with zero human input. What used to take a person two days a month now takes 20 minutes of review.
Exception-only reviewDjango + PostgreSQL for reliability, Celery + Redis for the async work (scraping, retries, escalations, notifications), Sentry and per-supplier health checks for operations. We picked the tools that wouldn't surprise the client's eventual in-house team.
Django · Postgres · CeleryEvery Build engagement runs the same playbook: foundation, core, polish, handoff. This one was no exception, though the per-supplier scraper work made phase two especially dense.
Ninety days post-launch, the numbers were unambiguous. The same client team is shipping more, recovering more, and freed from the work that was eating their week.
If your business runs on multi-vendor coordination, manual reconciliation, or any process where ops people do what software should, we'd like to talk. We respond within 24 hours with a clear scope, timeline, and price.