INDUSTRY All industries

AI that moves margin, not just metrics.

Demand, supply chain, merchandising and service. AI that moves margin, not just metrics, across the operation.

Where agents act

  • Demand forecasting and replenishment
  • Supply-chain and procurement copilots
  • Merchandising and pricing
  • Customer service and returns
  • Warehouse and dispatch optimization

Governance and compliance

Margin with control. Every automated action is bounded, logged and reversible. Commercial and personal data is handled under KVKK and GDPR, and use cases are ranked by payback, not novelty.

Financial-district towers at night

Deployed inside your operation.

San Francisco · Istanbul

Typical engagements

01

Procurement copilot

Contract intake to purchase order is compressed, with clauses extracted, suppliers scored against history and buyers approving before anything is filed.

02

Dispatch optimization

Routing and utilization are improved continuously, with a human owning the exceptions.

Representative scenarios. Specific results are shared in a working session, under NDA.

Retail, consumer and industry

Common questions

Where does AI move margin?

Demand accuracy, procurement cycle time, service cost and dispatch utilization. We rank use cases by payback period, not by novelty.

How much of the work is automated?

Only the routine, bounded and reversible part. Exceptions and commercial calls stay with your team, with a full audit trail.

How do you choose where to start?

We rank use cases by payback period, then start with one high-value workflow like demand forecasting or a procurement copilot.

Will it fit our ERP and supply-chain systems?

Yes. Agents act inside your ERP, WMS and procurement tools. We build to the systems and data you already have.

How quickly do we see payback?

Days to a working prototype, weeks to production, with each use case chosen because its payback is near, not because it is novel.

Proof
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