Procurement Pay10 Global: How AI Is Transforming Supply Chain Operations
Geopolitical uncertainty and supply shocks have pushed operations teams to rethink how work gets done. AI is now central to that rethink, especially in procurement, where speed, visibility, and savings compound across the chain.
Pay10 Global is putting this shift into practice. Under the leadership of Bogdan Asproiu, Global Head of Procurement, the company is scaling automation and data-led sourcing to build a stronger, more adaptive supply base.
Why AI is moving up the operations agenda
Procurement teams are managing more with less. McKinsey notes that teams today handle roughly 50% more spend than five years ago, and AI can make operations 25-40% more efficient by automating repetitive work and surfacing better decisions. Early adopters are widening the gap. McKinsey research makes the case clear.
As Samir Khushalani of McKinsey puts it, procurement is moving from a transactional function to a strategic one-driving resilience, innovation, and long-term growth. Teams that delay AI adoption risk higher costs, slower cycles, and blind spots in risk.
Data-led sourcing done right
AI tools exist for nearly every procurement task, but fit matters. Deploying a model where the data is thin, the workflow is ambiguous, or the incentives create conflicts can lead to rework and sunk cost. The lesson: sequence the rollout, validate the data, and keep humans in the loop where judgment is required.
At Pay10 Global, Bogdan's remit is clear-reduce manual friction, use data to inform supplier decisions, and extend procurement's reach across the value chain. The aim is practical: fewer touches, faster cycles, cleaner risk signals, and measurable savings.
Integrating technology across the value chain
With experience across five Fortune Global 2000 companies in retail, FMCG, telecommunications, and consulting, Bogdan emphasizes end-to-end integration. AI, machine learning, IoT, and blockchain each add value, but the gains show up when they connect.
Think IoT devices feeding real-time location and condition data, while AI improves demand forecasting and safety stock. Add contract analytics to find leakage, and supplier risk models to flag exposure. The result is a supply chain that reacts faster and spends smarter.
Practical playbook for operations leaders
- Map the intake-to-pay flow. Document current SLAs, handoffs, and exception paths before you automate.
- Fix the data first. Standardize SKUs, category taxonomies, supplier IDs, and location codes.
- Start with repetitive work: intake triage, PR-to-PO validation, three-way match, and vendor onboarding checks.
- Use AI for demand forecasting and inventory right-sizing; review exceptions with planners weekly.
- Score suppliers on risk using external alerts, performance data, and financial signals; route critical cases to humans.
- Apply contract analytics to identify price variances, expired terms, and non-compliant clauses.
- Pilot IoT for in-transit visibility on high-value lanes; alert on delays and condition breaches.
- Use blockchain selectively for high-compliance categories where traceability matters.
- Set guardrails: data retention, bias checks, approval thresholds, and clear audit trails.
- Measure impact monthly: cycle time, touch rate, savings realized, maverick spend, and forecast error.
What Pay10 Global is prioritizing
Automation to remove manual touches from routine procurement work. Data-led sourcing to improve supplier selection and negotiations. A tighter integration between supply chain signals and purchasing decisions to cut risk and waste.
Procurement & Supply Chain LIVE: The Middle East Summit
Operators who want field-tested ideas can join a virtual panel featuring leaders including Pay10 Global's Bogdan Asproiu. Expect real use cases, practical frameworks, and candid lessons from large-scale deployments.
- Dates: 3-4 February 2026
- Format: Virtual
- Location: Online
- Register for free: Event registration
No travel. Just focused sessions you can apply to supplier networks, digital tooling, and ESG execution.
Upskill your team
If your roadmap includes AI in sourcing, risk, or forecasting, build capability early. Explore hands-on programs for operations and procurement teams here: Courses by job and this curated track on automation: Automation learning path.
Metrics that prove it works
- Requisition-to-PO cycle time and PO touch rate
- Maverick spend as a percent of total spend
- Forecast error (MAPE) and stockouts
- Supplier OTIF and quality incidents
- Price variance vs. contract and realized savings
- Invoice exception rate and time-to-close
- Working capital: inventory days and payable terms
- Risk alerts closed and time-to-mitigate
The takeaway for operations leaders: make AI a core capability in procurement, link it to clear metrics, and scale what proves results. That's how you build resilience and lower total cost across the chain.
Your membership also unlocks:
