ERPs, TMS, IoT sensors, and supplier portals produce terabytes of events. Spreadsheet-based planning can't keep up with today's volatile demand and geopolitical shocks.
Stock‑outs and excess inventory coexist across the network
Lead‑time variability goes undetected until PO due dates slip
Manual root‑cause analysis delays corrective actions
Sustainability and ESG reporting require months of data wrangling
Agents merge carrier telematics, port API feeds, and weather data to predict arrival times and proactively reroute.
LLM agents analyse demand volatility and supplier performance to recommend daily reorder points.
Ingest news, ESG scores, and geo‑political events; score suppliers and suggest qualification actions.
Agents trace service‑level breaches through BOM, production, and logistics nodes—suggest counter‑measures.
Calculate landed cost per SKU‑channel in real time; recommend mode or lane changes.
Agents estimate CO₂ for each shipment and generate compliance reports with audit trails.
Our supply chain AI platform provides a complete flow from real-time data ingestion to automated actions and feedback.
LakeFlow connects ERPs, TMS, IoT, and external APIs into Delta Live Tables with schema evolution.
Supervisor routes to ETA, optimisation, and risk agents; merges insights with lineage & costs.
Agents trigger PO adjustments, carrier tenders, or Slack alerts; feedback retrains models continuously.
Book a discovery call to deploy AI agents that cut lead‑times, reduce stock‑outs, and boost service levels.