Yandex.Market
dynamic pricing
Expanded product coverage
for e-commerce price matching
Accelerate your
e-commerce AI
Accelerate your
e-commerce AI
Client
Online marketplace with a huge assortment- The platform offers 1.3 million products from 7,000 partners
- 6 million daily users
Challenge
Monitor product catalogs and prices of other major retailers- Need to continually update information on competitor products and dynamically adjust pricing strategy
- Automated algorithms for price extraction were under-performing
Solution
Efficient labeling pipeline integrated into existing process- Pipeline designed to integrate Toloka into the company’s existing solution for dynamic pricing
- Tolokers evaluated the quality of automated product matching and identified incorrect matches to improve quality
- Tolokers used on demand to find additional products on competitor websites in priority categories
- Automated pre-labeling to optimize speed and budget
Business impact
2.5% better coverage of key products- Toloka budget was focused on priority categories of products with the greatest business value
- Coverage of these categories expanded by 2.5% compared to using automated solutions and in-house annotators
- Ongoing improvements to labeling accuracy and speed over time
Similar success stories
Improved crowdsourced translations of product descriptions
Read the storyRead the storyResults:
17%
budget reduction while achieving optimal quality
Improved the accuracy of a predictive tool using local shopping patterns
Read the storyRead the storyResults:
30%
improvement in app accuracy after data collection, reaching 95%
Enhanced performance of a recommendation engine
Read the storyRead the storyResults:
6x
reduction of errors in the product recommender model
Tuned a 3D foot sizing app for better accuracy
Read the storyRead the storyResults:
12%
improvement in app accuracy with accelerated time to market
