We built a computer-vision and multimodal return-verification system for a multi-country online beauty retailer, helping distinguish genuine damage, fulfillment errors, and suspicious return patterns while reducing unnecessary manual review.
We modernized a legacy traffic-enforcement pipeline with vehicle make/model recognition, registry cross-referencing and authorized camera-network reconstruction — increasing automated processing while reducing manual review.
We build field service custom software for US repair, maintenance, logistics and inspection companies that still run field work through group chats, paper forms and spreadsheets. The delivery is a mobile field service management app — an offline-first service technician app for incident capture with photo, geolocation and status, real-time dispatch and route assignment, digital safety inspection forms, and management reporting that assembles itself from field data instead of being chased down by
How AI search tracking and content engineering made a brand visible inside ChatGPT, Perplexity, and Google AI Overviews — recovering nearly half of its lost organic conversions.
How a data-driven local market analysis flagged two high-risk sites and found an unserved gap — before a multi-location brand signed a single lease.
We built AI return fraud detection for a DTC retailer — behavioral risk scoring that cut fraudulent returns 38% and protected $180K in margin over six months.
We built AI returns analytics for an apparel brand — mining 15,000 return notes to cut size-driven returns 24% and recover $130K in margin. Read the case study.
We engineered a self-healing competitor price tracking system for a mid-market retailer — recovering 12% of retained margin and ending manual price checks. Read the case study.
