🚀 Jamba Reasoning 3B  Tiny model, huge possibilities!

Case Study

How a multinational retailer scaled brand-aligned product descriptions and won more shoppers

Product Descriptions hero
Gradients

INDUSTRY

Retail

PRODUCTS USED

  • Custom AI classifiers and Jamba for quality product descriptions
  • Bespoke Batch API for fast, large-scale processing

Facing hundreds of thousands of new product listings each year, a multinational retailer partnered with AI21 Labs to build a custom solution that automatically quality reviews product descriptions en masse and streamlines new review generation with precision and speed.

95%

Accuracy achieved

x7

Faster latency than traditional processing

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Reduced manual effort and development overhead

The Challenge

Ensuring high-quality product descriptions at scale without compromising speed

The retailer needed a better way to ensure product descriptions aligned with internal quality benchmarks, including content accuracy, consistency and readability — without sacrificing speed or scaling limitations. They also wanted an AI partner that could provide both cutting-edge technology and strategic, hands-on support.

The challenge

The Solution

Boosting product description quality with custom AI21 tech

Defining quality criteria: AI21’s team of world class linguists worked with the retailer to define clear, measurable standards for tone, structure and accuracy — mapped directly to Jamba’s output capabilities.

Classifying descriptions: Custom classifiers assessed whether third-party submissions met the criteria, flagging issues and highlighting sections for review.

Auto-generating text: For flagged entries, the system generated new, compliant product descriptions allowing the retailer to minimize manual editing.

Handling high volumes: A custom Batch API enabled fast, large-scale processing of submissions, significantly reducing turnaround time.

The solution

The Impact

Scalable, accurate and efficient product content at speed

The retailer deployed an end-to-end API that handled both classification and generation of product descriptions — saving time and internal development resources.

AI21 Labs’ Jamba model achieved up to 95% accuracy in classifying and generating high-quality content. The solution also reduced latency by 7X compared to traditional processing, allowing the retailer to scale operations without sacrificing quality or speed.

The impact
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“We used AI21’s models to build a smart product description tool that lets Jamba classify and enhance original content, cutting down manual work. After reviewing multiple AI options, AI21 stood out for its tech and the expert support from their team.”

Chief e-Commerce and Digital Officer