Proof of Delivery Verified by AI

Accurate material quantities at delivery are critical across construction, infrastructure, and industrial projects. Pipes, beams, panels, and components must be delivered accurately to keep projects moving.

Yet Proof of Delivery is still largely manual. Counts are done by eye. Paperwork is incomplete or inconsistent. When discrepancies appear later, there is rarely clear evidence of what actually arrived.

Object Counting AI changes this by turning delivery verification into a visual, auditable process at the point of delivery.

The Problem with Traditional Proof of Delivery

Most delivery verification workflows struggle in real conditions:

• Counting objects manually can be time-consuming and error-prone.
  
• Paper delivery notes are often inaccurate or missing details.
  
• Quantity disputes surface after materials are already in use.
  
• Audits rely on signatures rather than physical evidence.
  

Once a truck leaves the site, any mismatch becomes difficult to prove. Teams are left to resolve disputes without reliable data, resulting in delays, rework, and strained supplier relationships.

The Role of Object Counting AI

Object Counting AI enables teams to verify delivered quantities from images of the load automatically. Instead of estimating or manually tallying items, the system counts specific object types directly from photos.

Each count is returned with optional visual overlays, providing transparent, verifiable proof of the physical presence at the time of delivery.

This turns Proof of Delivery from a signed assumption into documented evidence.

How the Process Works

Object Counting AI verifies deliveries upon arrival. It delivers accurate counts and auditable proof from images, even when paperwork is missing or unavailable.

It works in the following steps:

1. Capture reference information

A photo of the delivery documentation is captured, enabling the system to automatically identify the expected items and quantities.

2. Capture the physical load

The photo of the truck bed, container, rack, or pallet is captured at the point of delivery.

3. Count and validate

Object Counting AI identifies and counts the specified item type, such as pipes or beams, even when items are stacked or overlapping.

4. Automatic comparison

The system compares the count to the expected quantity.

5. Result returned

• Match: delivery confirmed
  
• Mismatch: discrepancy flagged
  

What the System Produces

The system returns a structured output that can be used immediately and retained for audit purposes, including:

• Total item count
  
• Optional visual overlay of counted items
  
• Match or mismatch status
  
• Timestamped record for audit and traceability

Operational Value

Object Counting AI delivers immediate benefits across delivery workflows:

• Faster and more reliable delivery verification
  
• Reduced disputes and supplier back-and-forth
  
• Visual evidence for compliance and audits
  
• No manual counting required on site
  

By verifying quantities upon material arrival, teams catch issues early and reduce uncertainty in downstream processes.

A More Reliable Proof of Delivery

Proof of Delivery does not fail because deliveries are complex. It fails because verification methods were never designed for real site conditions.

Object Counting AI replaces manual estimates with measurable, visual proof. The result is a delivery record teams can rely on, long after the truck has left the site.

Ready to remove manual errors from your delivery process? Contact the Tiliter team to see how Vision AI Agents can modernise your Proof of Delivery workflows.

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