Industries

Built for the physical enterprise

Supply Chain & Manufacturing

Global ship tracking. Fleet orchestration. Plant-floor physical AI. Predictive maintenance tied to capacity plans. One supply chain brain synchronizing the network — from ocean lane to MES line.

SUPPLY CHAIN MANUFACTURING GLOBAL LOGISTICS PHYSICAL AI PREDICTIVE MAINTENANCE FLEET TRACKING

Live operations

Ship · Fleet · Physical AI · PdM

Enterprise control-tower views — animated tracking and maintenance — linked into one knowledge graph.

Global container port and ocean shipping lanes
LIVE Global ship tracking
  • MV Athena · ETA ROT −6h · risk ↓
  • MV Horizon · lane delay +14h
  • 42 vessels · 11 critical lanes

Global ship tracking

Ocean lanes, port congestion, and ETA risk feed demand, inventory, and expedite decisions — not a separate logistics silo.

Highway freight fleet in motion
LIVE Fleet tracking
  • 1,284 assets · DC ↔ plant
  • On-time 94.2% · exceptions 18
  • Next best: re-route lane B7

Fleet & network tracking

Plant–DC–customer movements with finite capacity and cover — so replenishment and expedite calls stay grounded in the real network.

Industrial robotics and physical AI on the plant floor
LIVE Physical AI
  • Vision · robotics · MES signals
  • Line 3 yield −2.1% · investigate
  • Write-back ready · approve

Physical AI on the floor

Shop-floor sensing and robotics join the same graph as orders, BOM, and suppliers — so AI actions land in the plan, not a dashboard orphan.

Technician performing predictive maintenance on industrial equipment
LIVE Predictive maintenance
  • Press #4 · failure window 9–14d
  • Capacity impact: −18% Line B
  • Plan shift · spare PO raised

Predictive maintenance

Asset risk is not a CMMS side quest — it reshapes capacity, MRP, and customer promises inside the same decision loop.

Manufacturing

Plant-honest planning at enterprise scale

Demand and production planning, inventory and procurement, supplier risk, and predictive maintenance — modelled on live ERP, MES, and shop-floor data. Not a twin spreadsheet.

  • Supply chain + manufacturing in one neural pipeline
  • Demand & production planning on BOM, routing, capacity
  • Predictive maintenance linked to capacity & promise dates
  • Physical AI signals from line, quality, and robotics
  • Supplier risk, lead-time forecasting, master data hygiene
Book manufacturing workshop
Global manufacturing plant floor
Manufacturing · ERP / MES / PdM fabric

Distribution & logistics

From ocean lane to DC door

Ship tracking, fleet movements, allocation, and replenishment across plant–DC–line networks — with finite supply and capacity in every tradeoff.

  • Global ship & container ETA risk in the plan
  • Fleet tracking across hubs and lanes
  • Inventory allocation & cover vs lead-time risk
  • Expedite recommendations with planner control
Read inventory brief
Container yard and global logistics network
Logistics · ship · fleet · warehouse

Retail & commerce

Demand signal to allocation

Multi-channel demand, inventory allocation, and replenishment on the same supply chain brain used for manufacturing — when the network requires it.

  • Demand forecasting tied to upstream supply risk
  • Allocation & replenishment with network constraints
  • Explainable recommendations with human approval
Request retail conversation
High-bay warehouse and distribution operations
Retail · allocation · fulfillment

Answers

Supply chain and manufacturing questions, answered

Which industries does ExlAthena serve?

ExlAthena serves discrete and process manufacturers, automotive and industrial suppliers, chemicals and consumer goods producers, and the ocean freight and fleet logistics networks that move their materials and finished goods.

How does ExlAthena support ship and ocean freight tracking?

Ocean lanes, port calls and AIS positions are scored for ETA risk, then joined to the orders and inventory that depend on them, so a delayed vessel becomes a cover shortfall and a replenishment decision rather than a map pin.

How does fleet tracking connect to supply chain planning?

Plant-to-distribution-centre fleet telemetry, geofence events and dwell exceptions feed the same graph as inventory cover, so late trucks reshape allocation and promise dates before a customer notices.

What is physical AI in a manufacturing plant?

Physical AI covers vision, robotics and sensor intelligence on the shop floor. ExlAthena treats those signals as first-class planning inputs, so quality drift, cycle-time loss and line stoppage change capacity in the plan instead of sitting in a separate dashboard.

How does predictive maintenance affect supply chain promises?

ExlAthena translates remaining useful life into capacity impact. When an asset is degrading, the lost hours flow into MRP and available-to-promise, so planners reshape sequences and spare-part orders before the line stops.

Enterprise engagement

See supply chain & manufacturing on your fabric.

Map ships, fleets, assets, MES, and suppliers into the knowledge graph — then pick the first module that proves value.