About the Company.
A global fashion forecasting and consumer insights leader serving designers, retailers, and trend teams worldwide. The platform tracks market movements in apparel, accessories, and emerging styles that require rapid visibility into competitor pricing, assortment shifts, and new product launches across thousands of SKUs.
Solution Summary
Algoscale built an automated, SKU level pricing intelligence engine that unified competitor catalogs, categorized products using AI-driven taxonomy, and delivered real time alerts on price changes, discounts, new arrivals, and assortment trends. The system enabled accurate like for like product matching and reduced manual research by automating cross retailer catalog comparison.
Customer Challenges.
The client faced significant challenges from fragmented contract management and lack of automation
No unified system to compare competitor products by category, material, silhouette, color or pattern.
Manual web checks caused delays in identifying price changes and new item launches.
No automated alerts for discounting, stock-outs, or assortment movements.
Difficulty identifying equivalent products across different retailer catalogs, limiting accurate “apple-to-apple” comparisons.
Algoscale Solution.
Algoscale engineered a custom AI/NLP-based contract intelligence pipeline to automate translation, extraction, and governance
Developed AI-driven product taxonomy to classify materials, styles, shapes colors, and embellishments.
Built SKU-level like-for-like matching logic to compare items across competitor catalogs.
Implemented automated scrapers for daily pricing, discounting, and stock-out detection.
Added a competitive coverage selector to allow teams to configure retailer/product tracking sets.
Delivered trend signals highlighting new arrivals, fast moving SKUs, and shifts in assortment strategy.
Centralized all competitor data into a structured pricing intelligence layer for analysis and reporting.
Algoscale Differentiators.
Deep expertise in retail product taxonomy and AI-based attribute extraction.
Strong experience building price scraping pipelines at scale across global retailers.
Ability to automate like for like comparison using attribute similarity models.
Rapid alerting architecture enabling daily insights for pricing and assortment teams.
Proven ability to operationalize pricing intelligence within BI dashboards.
Values Delivered.
Through this engagement, Algoscale delivered measurable improvements:
100% SKU-level visibility into competitor pricing and assortment attributes.
15-20% faster pricing decisions with automated daily alerts.
30% reduction in manual catalog matching via taxonomy based automation.
Earlier trend detection, improving assortment planning and seasonal launch timing,
Improved margin protection by identifying over priced or under priced items.
Technologies We Use.
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