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Case study · Product · Computer vision

Video evidence for an online marketplace

Applying computer vision to marketplace order fulfilment for Flipkart at scale.

Client
Flipkart
Industry
E-commerce
Type
Product · Computer vision
daily videos
1M+
fewer fraudulent claims
75%
client's reported savings
$100M
vendors at reported current scale
20,000+

The problem

Disputes without a shared record

Packing errors and fraud affected 2–6% of volume.

Evidence sat across fragmented seller and warehouse operations, making disputes slow and reputationally costly.

The system

Evidence from the moment of packing

Video capture began at the moment of packing.

A searchable 60-day archive gave internal teams and sellers a shared record for investigation and resolution.

The adoption

From proof of concept to marketplace scale

The system grew from a proof of concept with 60 vendors to more than 20,000 vendors at reported current scale, with a far larger seller network available for wider rollout.

vendors in the POC
60
vendors at reported current scale
20,000+
seller network available for wider rollout
300,000+

The product

A product in its own right

The video evidence system (VMS) now runs as a product with per-package pricing, used across Indian e-commerce by Flipkart and others.

Capabilities involved

  • Computer vision
  • Video capture at the point of packing
  • Searchable 60-day evidence archive
  • Seller and internal dispute resolution
  • Per-package product pricing

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