.svg){kind=icon}
.svg){kind=icon}
Vendor negotiations relied on fragmented pricing, cost, and profitability data, limiting visibility into margin opportunities and slowing commercial decision-making. Merchandising and finance teams lacked a unified view of vendor performance, making it difficult to negotiate effectively and maximize profitability.
Retail
Driving Smarter Vendor Negotiations with AI-Powered Commercial Intelligence
Business Challenge
Our Approach
LatentView built an AI-powered Commercial Intelligence platform that unified vendor, pricing, profitability, and financial data into a single decision-making layer.
The solution equipped merchandising and finance teams with vendor scorecards, profitability insights, and negotiation analytics to identify margin improvement opportunities, strengthen supplier negotiations, and enable faster, data-driven commercial decisions.
Solution Highlights
- Vendor performance and pricing intelligence
- Margin and profitability analytics
- AI-driven negotiation insights
- Commercial scorecards and decision dashboards
- Self-service analytics for merchandising and finance
- AI-powered image tagging and metadata enrichment
- Automated product identification across lifestyle and catalog images
- Visual similarity recommendations for cross-sell and product discovery
- Scalable image processing with minimal manual intervention
- Reusable AI models across product categories
Key Highlights
Business Impact
140 bps
improvement in gross margins through data-driven negotiations
Faster access to vendor and profitability insights
Improved pricing transparency across suppliers
Stronger commercial decisions through unified analytics
Incremental Revenue
$
0
M
improvement in conversion rate
0
%
increase in click-through rate
0
%
70% to 91%
Image tagging accuracy improved
Significant reduction in manual image labeling effort and maintenance costs
Client Profile
Client/Company
Leading Tele-Media Retailer
Industry
Retail
Share & Download
SHARE
Related Case Studies
Expanding high-growth categories such as home décor, furniture, apparel, and baby products required more than broad…
A leading medical equipment manufacturer struggled to extract clean, reliable signals from images captured in low-light…
Store managers and workforce leaders depended on manual reports and multiple support teams to access labor,…
