Overview
Fashion-brand distributor and wholesaler platform (FN-AD) partnered with Banao Technologies to transform their manual Excel-based workflows into a full end-to-end AI-driven matchmaking system. The goal was to automate brand profiling, classification, and matching with wholesalers, improving scalability, speed and accuracy.
Industry
Fashion / Retail TechBusiness type
B2B Platform / Wholesaler Network
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Impact After Launch
Post-implementation, the platform enabled brand profiling in minutes instead of hours, scaled the number of profiles handled per day significantly, and improved matching accuracy between brands and wholesalers. The AI-driven system replaced many manual processes, allowing the client to focus on growth and partnerships.
Key results achieved after deployment
0+
brand profiling volume per day,
0+
manual processes replaced per day, and
0%
accuracy improvement in brand-wholesaler matching.
Challenge
The client was overloaded with manual processes: profiling fashion brands by hand, matching them with suitable wholesalers via spreadsheets, with limited scalability, low throughput and inconsistency in how brands were classified and matched.
Our Solution
Banao Technologies developed a smart platform that automates brand-data scraping, uses NLP and computer vision for classification, and applies recommendation algorithms to match brands with wholesalers. The system also includes panels for brands and wholesalers for self-service, real-time updates and analytics.
Features Implemented:
- Automated brand profiling via scraping & AI
- NLP-based brand classification & competitor discovery
- Recommendation engine for brand-wholesaler matchmaking
- Self-service dashboards for both brands and wholesaler panels
Key Features Implemented
Combining AI, data automation and matchmaking logic to transform fashion B2B workflows.
Automated Brand Profiling
Scrapes data from brand websites/social media and auto-generates detailed brand profiles in minutes instead of hours.
Intelligent Brand-Wholesaler Matching
Uses structured brand attributes (target audience, category, region) and algorithmic matching to suggest optimal wholesaler partners.
Advanced Classification with NLP & Computer Vision
Combines NLP for classification and computer vision for image/scrape-based insights to enrich profiles and matching logic.
Scalable Workflow & Analytics Dashboard
Provides dashboards and workflows that manage large volumes of brands and keep the system scalable for future growth.
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Frequently Asked Questions
How fast can brand profiling be done after implementation?
With the AI-driven system, brand profiling time dropped from ~45-60 minutes to under 2 minutes per profile. :contentReference[oaicite:11]{index=11}
What level of automation was achieved for manual workflows?
The platform automated up to ~50% of manual Excel-based systems for the client. :contentReference[oaicite:12]{index=12}
How accurate is the brand-wholesaler matching engine?
The matching engine achieved approximately 75% matching accuracy according to the published case-study. :contentReference[oaicite:13]{index=13}
Is the solution scalable for more brands and wholesalers in the future?
Yes — the system was designed to manage tens of thousands of entities and scale as needed. :contentReference[oaicite:14]{index=14}