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Review an ever-expanding library of 1,000+ single AI sub-use cases for digital and sustainable Procurement & Supply Chain transformation to surface those most relevant to your needs.
Evaluate each AI use case based on IPG expert assessment of projected business value and complexity of implementation — informed by proprietary research and real-world adoption data.
AI agents, interactive dashboards and scorecards support ranking, comparison and shortlisting of AI use cases based on individual ambition, goals, risk appetite and readiness.
Business problems
Digital opportunities
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Best-fit tools
Best-fit partners
Validated value
30 high-priority digital procurement use cases structured across six capability domains — from transactional excellence and data foundations to sourcing, risk, supplier management and cost engineering.
Enable largely automated Purchase-to-Pay processes from demand initiation through invoice processing with minimal manual intervention.
Digitally create, transmit, confirm and monitor purchase orders while efficiently managing order changes and deviations.
Automate invoice capture, matching, validation, approval and payment initiation to reduce manual processing effort and errors.
Provide digital purchasing platforms for standardized requirements, catalogs, services and long-tail spend across the organization.
Establish a shared data and integration foundation for master data, interfaces and end-to-end process connectivity.
Analyze spend, prices and supplier data to create transparency on purchasing volumes, risks, performance and value opportunities.
Systematically collect and use market, price, supplier and risk intelligence to support procurement decisions and strategies.
Develop data-driven category strategies, scenarios, initiatives and roadmaps based on internal and external market intelligence.
Improve demand, supply and inventory planning through forecasts, market signals, scenarios and data-driven planning models.
Continuously update procurement and supply plans as requirements, risks, capacities and market conditions change.
Support procurement users with digital assistants for analysis, research, decision support and recurring operational tasks.
Capture business requirements in a structured way and automatically guide users toward the most appropriate procurement channel and process.
Integrate Source-to-Contract processes from demand identification and RFx through supplier selection, award and contracting.
Automate the preparation, execution and evaluation of sourcing events for suitable categories, requirements and supplier markets.
Prepare supplier negotiations systematically using data, benchmarks, objectives, scenarios and structured argumentation.
Use digital negotiation bots to autonomously conduct standardized price and commercial term negotiations with suppliers.
Identify, assess and continuously monitor supplier risks while initiating targeted measures to reduce exposure and improve resilience.
Create transparency across upstream supply chains, critical sub-suppliers, materials, dependencies and potential disruption points.
Screen suppliers against compliance, ESG, sanctions and sustainability requirements using structured internal and external data.
Capture, calculate, analyze and reduce Scope 3 emissions and Product Carbon Footprints across suppliers and value chains.
Identify suitable suppliers based on capabilities, regions, technologies, risks, market sources and specific sourcing requirements.
Centrally manage supplier master data, profiles, documents, certifications and other relevant supplier information.
Qualify new and existing suppliers systematically based on defined criteria, documentation, assessments and approval workflows.
Manage the contract lifecycle from creation, review and approval through storage, obligations and deadline monitoring.
Measure and manage supplier performance using KPIs, scorecards, reviews, improvement actions and structured escalation processes.
Manage supplier quality through audits, complaints, corrective actions, quality KPIs and continuous improvement processes.
Strategically manage supplier relationships, development, collaboration, governance and long-term value creation.
Develop data-driven target and should-cost estimates for products, materials, components and supplier quotations.
Integrate procurement and suppliers early into design decisions to optimize cost, manufacturability, sourcing options and supply security.
Analyze technical drawings to derive cost, material, manufacturing and sourcing information for procurement and engineering decisions.
Proprietary IPG methodology. Reproduction, adaptation or commercial use requires prior written permission from IPG Partners Group.
37 high-priority digital supply chain use cases structured across six capability domains — from planning and supplier collaboration to risk management, execution, end-to-end orchestration and circular supply chains.
Forecast future customer and sales demand based on historical data, trends, seasonality and external market signals.
Detect short-term demand changes using real-time data, market impulses and operational signals to improve planning responsiveness.
Align demand, supply, capacity and financial plans within one integrated cross-functional planning and decision process.
Optimize inventory and safety stock levels according to service targets, working capital requirements, demand variability and risk.
Plan procurement, production and supply considering demand, capacity, material constraints and service requirements.
Optimize locations, material flows and capacities across the supply network to balance cost, service and resilience.
Digitally collaborate with suppliers on forecasts, capacities, orders, constraints and joint improvement actions.
Create transparency on current and expected supplier capacities to identify bottlenecks and capacity risks at an early stage.
Create transparency on material availability, coverage, shortages and critical supply situations across the supply chain.
Secure critical requirements through multiple qualified sourcing alternatives across suppliers, regions and supply markets.
Map suppliers, locations, relationships and dependencies across multiple tiers of the supply network.
Identify and assess risks at sub-suppliers, critical nodes and dependencies beyond the direct Tier-1 supplier base.
Detect potential disruptions early through internal, external and event-based signals across the supply network.
Assess the impact of disruptions on materials, sites, customers, revenue, production and delivery capability.
Simulate alternative disruption and supply scenarios to evaluate potential impacts, trade-offs and response options.
Identify alternative suppliers, materials, locations or sourcing regions when supply risks or disruptions occur.
Strengthen supply chain resilience through redundancy, buffers, alternatives and predefined response plans.
Digitally plan and manage transportation, carriers, freight costs and operational transport processes.
Digitally manage warehouse inventory, put-away, picking, replenishment and shipping processes across warehouse operations.
Optimize transport demand, modes, capacity, schedules and time windows to improve cost, utilization and service.
Track shipments, materials and orders end-to-end including status, ETA, milestones and relevant transport events.
Dynamically predict arrival times based on current transport, traffic, location and event data.
Optimize routes, stops, vehicle utilization and delivery sequences to reduce cost, distance and lead times.
Digitally orchestrate the process from customer order through allocation and execution to transparent, on-time delivery.
Provide centralized end-to-end visibility across inventory, orders, transportation, risks and operational exceptions.
Detect, prioritize and manage relevant supply chain events based on predefined rules, workflows and responsibilities.
Analyze deviations, disruptions and performance issues to identify underlying causes, dependencies and recurring patterns.
Create a virtual representation of the supply chain to simulate networks, scenarios, changes and potential impacts.
Manage operational exceptions using alerts, ownership, actions, workflows and escalation mechanisms.
Generate data- and AI-driven recommendations for operational and tactical supply chain decisions.
Digitally manage product returns, inspection, credits, disposition and reintegration into inventory or downstream processes.
Plan and manage repairs, spare parts, capacities, turnaround times and service levels across repair operations.
Manage reusable products, components and materials to extend product lifecycles and reduce the consumption of new resources.
Refurbish used products and components to restore functionality, quality and market value for renewed use.
Forecast demand, optimize inventory and secure availability of critical spare parts throughout the product lifecycle.
Design and manage closed-loop material flows for take-back, reuse, refurbishment, recycling and resource recovery.
Digitally manage service, spare parts, repairs and customer support activities after the initial product sale.
Proprietary IPG methodology. Reproduction, adaptation or commercial use requires prior written permission from IPG Partners Group.
Zurich, Switzerland
Rijeka, Croatia
Belgrade, Serbia
San Mateo, USA
Shanghai, China
Thought and Do Factory for Digital and Sustainable Transformation.
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