PwC helps organizations transform supply chain planning with SAP by connecting demand, supply, and financial planning to improve agility, visibility, and business performance at scale.

Resilient, AI-driven supply chain planning with SAP

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Overview

AI-powered planning turns disruption into advantage. PwC unifies demand, supply, and financial planning through SAP, giving your teams real-time visibility, confident decisions, and the resilience to adapt as conditions shift. The result: leaner inventory, lower costs, and an organization that plans and moves as one.


Market trends

91%

of leaders will significantly change supply chain strategies in response to US trade policy changes

Source https://www.pwc.com/us/en/services/consulting/supply-chain-operations/library/digital-trends-operations-survey.html
57%

have integrated AI into selected functions or throughout their organization

Source https://www.pwc.com/us/en/services/consulting/supply-chain-operations/library/digital-trends-operations-survey.html

Capabilities

S&OP - SAP IBP & SAP SAC

  • Connects sales, finance, and supply chain teams around a single, live plan so leadership spends less time reconciling numbers and more time acting on them 
  • Scenario planning lets executives stress-test their commercial and financial plans against demand shifts, cost pressures, and supply disruptions before committing resources 
  • Structured review workflows replace ad-hoc consensus meetings with a repeatable process that keeps every function aligned and accountable

Demand planning - SAP IBP

  • Forecast accuracy improves as SAP's embedded AI continuously evaluates and selects the best model by product and market, giving leadership a more reliable number to plan and invest against 
  • Planners work from exception-based alerts and real-time dashboards rather than spreadsheets, focusing attention on the decisions that affect service levels and cost 
  • External signals including orders, promotions, and market data are incorporated into the demand plan continuously, keeping forecasts responsive to real conditions rather than historical patterns alone

Short-term scheduling - S/4HANA & ePPDS

  • Production schedules are optimized against real capacity constraints and demand priorities, with AI-assisted insights that help planners understand complex trade-offs and act with confidence rather than rebuilding schedules manually under pressure 
  • When disruptions occur, planners get clear options and trade-off visibility rather than having to rebuild schedules manually under pressure 
  • Shop-floor efficiency improves as scheduling decisions are grounded in live operational data rather than yesterday's assumptions

Digital manufacturing - S/4HANA DM

  • Shop floor teams work from real-time digital instructions and live production tracking, giving supervisors an accurate picture of actuals versus plan throughout the shift rather than waiting for end-of-day reporting 
  • Quality issues are identified earlier in the production cycle using process and sensor data, reducing rework, waste, and downstream customer impact 
  • Equipment failures are anticipated before they occur, protecting production output and reducing the cost and disruption of unplanned downtime

Materials planning – SAP IBP & S/4HANA

  • Planning cycles are faster and less disruptive because materials are managed based on their supply complexity, not forced through a single, system-wide process
  •  Strategic and long lead-time materials are planned with full demand visibility, reducing last-minute procurement decisions and the working capital exposure that comes with them 
  • Dynamic buffers absorb supply variability for the most flow-critical components, keeping production running without requiring constant planner interventions

Supply chain collaboration - SAP IBP & Business Network (Ariba)

  • Supplier risk is monitored continuously using performance and compliance data, giving procurement teams early warning before a supplier issue becomes a supply disruption 
  • Delivery visibility improves through predictive ETA capabilities that draw on real carriers and logistics signals, not just planned lead times 
  • Freight capacity is planned proactively rather than secured reactively, reducing last-minute costs and improving on-time delivery performance.

Insights


Contact us

Jacob Cunningham

Principal, PwC US

William Ni

Principal, PwC US

Ryan Han

Director, PwC US

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