Case Studies
Real consultations. Actionable roadmaps. Zero BS.
Fashion Sourcing: From Dead Stock to Search That Works
Their Problem: Buyers search for a "polo", get a leather skirt. 35% of inventory is unsold. Data quality is garbage—wrong colors, bad tags, missing attributes. Onboarding new suppliers takes forever because everyone has their own taxonomy.
Our Process: 1 hour mapping their problem and understanding their industry specifics. Offline work building a technical roadmap. 1 hour debrief presenting the solution architecture: semantic + multimodal search, data consistency checks, format-flexible ingestion, auto-mapping for supplier taxonomies, and product quality scoring with quarantine logic.
"You nailed the issue. Now I can pitch this AI angle to investors with a real story, not just buzzwords."
B2B Fashion Orders: Invoices Don't Match, Retailers Pay the Price
Their Problem: Retailers place orders across 5+ marketplaces, no ERP sync, no unified order view. Invoices come in all formats, languages, and naming schemes. EANs only show up at the warehouse. Mismatches delay shipping or blow margins. Teams waste 2 hours/day just chasing info.
Our Process: 1 hour deep dive into their order flow and pain points. Offline analysis and solution design. 1 hour walkthrough of proposed system: multilingual invoice parser, automated discrepancy detection, AI-powered mapping UI for supplier-to-ERP schemas, and flexible matching interface for partial/delayed data.
"Before this, we were blind. Now we catch errors before they hit the warehouse. It's saving real money."
What we deliver: Problem diagnosis + technical roadmap + implementation blueprint. Clear next steps that turn strategy into action.