Back to Work
LogisticsWarehouse OpsAgentic AIHardware Integration

Warehouse Receiving Automation

How we built an end-to-end automated receiving workflow — physical scanning station, document intelligence, and an autonomous receiving agent — that handles the bulk of inbound packages with zero human touch at a maritime spare parts logistics provider.

87%
Touchless Receipts
< 30s
Time Per Package
200
Packages Per Day
01

The Challenge

A maritime spare parts logistics provider had a working document intelligence pipeline, but the physical receiving process was still bottlenecked by humans: a worker had to scan the delivery note, weigh and measure each package on a separate station, manually match the paperwork to the inbound shipment, and decide whether to accept, reject, or escalate. The pipeline was fast — the people were the bottleneck.

  • 200 inbound packages per day, each requiring 5+ manual steps to receive
  • Dimension and weight capture handled on a separate station from document scanning
  • Receiving decisions (accept / reject / escalate) handled inconsistently across operators
  • No structured data captured for downstream put-away or billing — re-entry required
02

Our Approach

We built an integrated receiving station that fuses physical measurement, document intelligence, and an autonomous AI agent into a single workflow. The package goes on the station, and the receiving decision comes out the other side — usually without anyone having to make it.

01

Integrated Physical Station

Designed and deployed a receiving station combining a scale, dimensioner, and document scanner — a single workflow where an operator places the package and its paperwork and the system captures everything in one go.

02

Document Intelligence Integration

Wired the station directly into the existing Document Intelligence Pipeline so delivery notes are OCR'd, classified, and structured the moment they're scanned — no separate upload step, no waiting.

03

Autonomous Receiving Agent

Built an AI agent that cross-references captured weight, dimensions, and document data against the expected purchase order, flags discrepancies, and makes the receiving decision — accept, reject, or escalate — based on configurable tolerance rules.

04

Exception Workflow

The 13% of packages the agent escalates (damaged paperwork, dimension mismatches, unexpected items) get routed to a human with all captured data and the agent's reasoning attached — so resolution takes seconds, not minutes.

03

The Results

87%
Touchless Receipts
Of inbound packages received with zero human decision-making
< 30s
Per Package
From scan to receipt confirmation, end to end
200
Packages Per Day
Handled by a single station with one operator
0
Re-Entry Steps
Weights, dimensions, and document data flow downstream automatically
"The dock used to be where shipments slowed down. Now packages get fully received before the operator even starts on the next one. Receiving stopped being a bottleneck — it disappeared as a problem."
Warehouse Manager
Maritime Spare Parts 3PL
Technologies Used
PythonAWS BedrockFastAPIPostgreSQLIndustrial Scale & Dimensioner SDKCamera APIsApache KafkaVue.jsDocker

Facing a Similar Challenge?

Let's explore how we can bring clarity to your operations.

Start a Conversation