BackLogistics · Case Study

AI Agent Cut Order-to-Ship by 68%

−68%
Processing Time

The Client

Mid-market 3PL operating out of three US warehouses, processing 1,200+ orders per day across multiple sales channels.

The Challenge

Orders came in from Shopify, HubSpot deals, and CSV uploads. Ops staff manually validated addresses, checked inventory in QuickBooks, generated labels in ShipStation, and emailed exceptions back to sales. Average order-to-ship time was 11 hours, with a backlog every Monday morning.

What We Built

Built an autonomous AI agent that ingests every new order in real time and runs a validation chain across address, SKU availability, and customer credit.

Connected HubSpot, ShipStation, and QuickBooks via their APIs so the agent can create shipments, update deal stages, and post invoices without human input.

Added a human-in-the-loop escalation channel in Slack for the small percentage of orders the agent is not confident about.

Set up monitoring dashboards so ops leadership can see throughput, exceptions, and savings in real time.

Stack
OpenAI GPT-4on8nHubSpot APIShipStation APIQuickBooks APISlack
Results
−68%
Order-to-ship time
94%
Orders fully automated
$240k
Annual labor savings

Mondays used to be chaos. Now the agent has cleared the queue before the team is even in the building.

Director of Operations

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