启寰智能ONTOXIOM

Use cases

Start with one business problem.

Anonymised, typical scenarios. Each one is built on the same enterprise ontology, so the second use case is always faster than the first.

Industries

Supply chain

Bring exceptions, inventory and fulfilment signals into an AI loop you can understand and govern.

  • ERP
  • WMS
  • SRM
  • TMS

Manufacturing

Link production and operations above MES / ERP, surface exceptions earlier and turn experience into capability.

  • ERP
  • MES
  • WMS
  • Equipment

Cross-border trade

Cross-document consistency for trade documents, classification and compliance, with human review built in.

  • ERP
  • WMS
  • Customs
  • Document store

Logistics

Connect capacity, warehousing, in-transit and fulfilment into a logistics layer you can simulate.

  • TMS
  • WMS
  • ERP
  • Tracking

Typical use cases

Supply chain

Supply chain exception response

Continuously detect late orders, stock deviations and supplier issues, trace affected orders and customers through relations, and open tasks or replenishment approvals within permissions.

  1. Detect→
  2. Trace→
  3. Suggest→
  4. Approve
Management

Cross-system business questions

“Which customers dropped more than 20% in sales this month while carrying excess stock?” Answered once across ERP, CRM and WMS, filtered by permissions and cited.

  1. Understand→
  2. Join→
  3. Filter→
  4. Cite
Cross-border

Intelligent trade documents

Extract fields from PDFs and spreadsheets, check cross-document consistency and classification history, and route differences to human review.

  1. Extract→
  2. Compare→
  3. Flag→
  4. Review
Warehousing

Inventory & replenishment

Combine sales, in-transit and safety stock to spot slow movers and stock-outs, and propose transfers and replenishment for an owner to confirm.

  1. Sense→
  2. Simulate→
  3. Suggest→
  4. Confirm
Operations

Process automation

Hand repetitive cross-system entry, reconciliation and routing to agents, with human approval kept at the key steps.

  1. Trigger→
  2. Execute→
  3. Verify→
  4. Record
Leadership

Executive cockpit

Cross-system KPIs that drill down to individual objects, explainable exceptions and follow-up questions in plain language.

  1. Aggregate→
  2. Drill down→
  3. Explain→
  4. Ask

Turn your business into a world AI can understand.

Bring one concrete business problem. We'll tell you honestly whether it makes a good first use case.

Talk to usAbout FDE