Procurement copilot
Contract intake to purchase order is compressed, with clauses extracted, suppliers scored against history and buyers approving before anything is filed.
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.
- Retail and e-commerce
- Consumer goods
- Manufacturing and industry
- Logistics and distribution
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.
Deployed inside your operation.
San Francisco · IstanbulTypical engagements
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.
Step by step: from working session to production
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01
Working session.
One workflow chosen by payback: demand forecasting, a procurement copilot or service deflection. On your real numbers, inside days.
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02
Diagnosis in four weeks.
A working prototype and a before-and-after baseline: cost per case, cycle time or forecast accuracy, measured on your own data.
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03
Embedded build.
Agents wired into your ERP, WMS and procurement tools, every automated action bounded, logged and reversible.
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04
Live by day 90.
Production across the operation, margin measured against the baseline, your team operating and extending it.
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.
Can you personalize marketing and campaigns?
Yes. Personalization, campaign intelligence and content operations for retail marketing teams are a dedicated practice, wired into your CDP and martech stack.
Do you work with manufacturers and logistics companies?
Yes. Manufacturing, consumer goods, logistics and distribution, alongside retail and e-commerce. Margin workflows look different in each; the method is the same.
Which markets do you cover?
The US and Canada from San Francisco; Europe, the Middle East and Africa from Istanbul. Commercial and personal data stays inside your residency.
What data do we need to have ready?
Less than you think. We start from the systems you already run, sample the real data in the working session and build the pipeline as part of the engagement.
What does a first engagement look like?
One workflow, chosen by payback: demand forecasting, a procurement copilot or service deflection. Days to a prototype, weeks to production, your team operating it.
- Margin, not just metrics
- Bounded and reversible actions
- Ranked by payback period