Industries·Retail & E-commerce

Human Data for Commerce AI

Product matching, visual search and catalogue quality for the models that help shoppers find the right product.

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What We Do

Product matching

Matching ad videos and user-generated content to the exact catalogue product.

Visual search evaluation

Judging whether similar-product results really match, across categories.

Catalogue quality

Product view validation, metadata accuracy and image appeal ranking.

Case study

From Single Task to Multi-Step Operation

Tens of millions

data points delivered

Every day

daily commitments met

99%

quality

Since 2023

working together

“What stands out most about Yenda is the people. Even at tens of millions of data points, they stayed responsive, took feedback to heart and kept quality high.”

Nicole RomeDelivery Team Lead, Tasq.ai

The Challenge

Scoped as a single annotation task, but the edge cases meant one step would produce inconsistent labels at scale.

What We Did

We split the work into a multi-step workflow, each step simple enough to validate, then qualified and trained the team on it.

The Result

Tens of millions of data points delivered, every daily commitment met, and model training kept on schedule.

Case study

Quality Held at Volume

30 million

data points

3 months

project delivery

96%

quality

The Challenge

A visual product search model needed products matched accurately across categories, at high volume. When the team grew quickly to meet demand, quality dipped.

What We Did

We sandboxed new annotators until they proved their accuracy, added dedicated Quality Leads, and recalibrated with the client. Every annotator was placed in a performance tier using statistical tests, with pay linked to accuracy and no self-review on rework.

The Result

30 million data points delivered in 3 months, with quality restored and held as the team scaled.

Building Commerce AI?

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