AI in supply chain means using machine learning and AI agents to digitize field operations, forecast demand, and automate logistics communication. We built the field operations platform behind a billing-recovery vendor's work for K-Electric, managing 2.5 million-plus recovery cases, and the WhatsApp automation that cut a UAE delivery company's support costs by 70 to 80 percent. Offline-first, because real logistics happens where connectivity fails.
We build supply chain AI systems around how your operation actually runs:
We build supply chain AI systems around how your operation actually runs:
Live dashboards and pipelines turn scattered operational data into one picture your team can act on, exportable for leadership.
Every system we deliver runs on infrastructure your team can own and extend, no black boxes, no per-seat licensing.
Next.js & React · Node.js · Offline-first PWA patterns · Google Maps API · WhatsApp Business API
GPT-4 & Claude · Small language models (on-device) · LangChain · Custom forecasting models · Anomaly detection
PostgreSQL · MongoDB · dbt · ETL pipelines · Real-time dashboards
AWS/GCP/Azure · Docker/Kubernetes · Role-based access control · Audit logging · End-to-end encryption
CI/CD pipelines · Logging & metrics · Error tracking · Uptime monitoring · Automated backups
The models, vector stores, data tooling and infra behind every build.
In production today, AI digitizes field operations with GPS and photo evidence, automates customer and delivery communication, forecasts demand from your own sales history, and gives managers real-time visibility instead of next-day spreadsheets. The common thread is replacing manual recording and reporting with systems that capture reality as it happens.
Yes, if it is designed offline-first from day one. Our field platforms work fully offline and sync when a connection returns, so warehouses, rural routes, and dense urban areas with poor coverage do not lose data. We also deploy small language models on-device for AI features that must work disconnected.
Three to five months to production. The field operations platform for MediaNet, a billing-recovery vendor for K-Electric, managing more than 2.5 million recovery cases, went live in 3 months. We deliver fixed-price engagements with weekly demos so you see progress continuously.
Most projects run $50,000 to $150,000 depending on operational scope, how many systems need connecting, offline requirements, and AI sophistication. You own all the code at the end, with no per-user licensing.
No, it is the opportunity. Paper-based field operations are exactly where digitization pays back fastest, because every captured attempt becomes GPS-tagged, photo-verified, and instantly visible to management. MediaNet went from paper to a fully digital field operation in one project.
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