What tech stack does P&G use?
P&G's technology stack reflects a large-enterprise digital-transformation program centered on Microsoft Azure as its primary cloud, SAP as its ERP backbone, and a growing portfolio of AI and IoT manufacturing tools. The stack below is detected from public sources including Microsoft customer stories, GE Vernova case studies, P&G press releases, SEC filings, and job postings — it is directional intelligence intended to inform sales and integration planning, not a certified internal inventory. Annual IT spend is estimated at approximately $1.1 billion.
- Cloud
- Microsoft Azure (primary)
- ERP
- SAP S/4HANA on Azure
- Manufacturing MES
- GE Vernova Proficy
- IoT / Edge AI
- Azure IoT Operations + Azure Arc
- CRM
- Salesforce Sales Cloud & Commerce Cloud
- Annual ICT Spend
- ~$1.1 billion (2024 industry estimate)
What technologies does P&G use?
P&G's enterprise technology landscape spans cloud infrastructure, ERP, manufacturing execution, IoT and edge AI, CRM, collaboration, and data analytics — built on a core of Microsoft Azure and SAP, with Salesforce for commercial operations and GE Vernova for manufacturing intelligence.
- Microsoft Azure· Cloud / Infrastructure
- Azure IoT Operations· Cloud / IoT
- Azure Arc· Cloud / Edge
- SAP S/4HANA· ERP
- SAP BTP (Business Technology Platform)· ERP / Integration
- SAP BW (Business Warehouse)· Data
- GE Vernova Proficy (MES)· Manufacturing
- AWS Database Migration Service· Data / Migration
- Salesforce Sales Cloud· CRM
- Salesforce Commerce Cloud· E-Commerce
- Microsoft 365 / Teams· Collaboration
- AI / ML (internal platforms)· Data / AI
Sources:P&G Microsoft Azure SAP Migration — Microsoft Customer StoriesP&G Azure IoT Operations — Microsoft Customer StoriesP&G GE Vernova Proficy — GE Vernova
What does P&G use on the backend and infrastructure?
P&G's primary cloud is Microsoft Azure, confirmed by multiple published Microsoft customer stories. In the SAP-to-Azure migration case study, P&G migrated its SAP enterprise systems — S/4HANA, BW, Business Workflow, and SAP BTP — to Azure and achieved approximately 40% average performance improvements across those workloads. SAP S/4HANA is the global ERP backbone, managing financials, supply chain, order management, and HR data at scale across 180+ countries.
P&G's most significant recent infrastructure investment is Azure IoT Operations and Azure Arc, deployed at global manufacturing sites to capture real-time edge data — machine temperature, sheet length during production, and equipment telemetry — and run AI-powered predictive maintenance models at the edge. This Azure IoT deployment reduces unplanned downtime and enhances product consistency across P&G's diaper and paper-towel plants in Egypt, India, Japan, and the U.S. The multiyear Microsoft partnership sealed in 2022 covers manufacturing IoT, digital twin, and AI at industrial scale.
For manufacturing execution specifically, P&G uses GE Vernova's Proficy cloud-based MES platform, one of the company's earliest cloud-native manufacturing adoptions. Machine telemetry and high-speed analytics from Proficy are deployed across multiple plants globally. P&G has also used AWS Database Migration Service for specific data-migration workloads, though Azure is the dominant hyperscaler.
What does P&G use on the frontend, data, and GTM tooling?
P&G uses Salesforce extensively for commercial operations — Sales Cloud for field-sales coordination and customer management, and Commerce Cloud for e-commerce. Job postings confirm Salesforce Apex and Lightning Web Components (LWC) customization work at P&G's Warsaw technology hub, indicating a meaningful Salesforce footprint with active development. Microsoft 365 and Teams are the enterprise collaboration standard.
On data and analytics, P&G maintains a heavily internal AI and ML capability overseen by Chief Analytics Officer Kirti Singh, covering consumer insights and media measurement. The company's CIO Seth Cohen described P&G's AI strategy as a 'once-in-a-generation opportunity' in early 2026, focusing on consumer intelligence, personalization, and manufacturing automation. SAP BW is the primary data warehouse for financial and supply-chain reporting.
P&G's marketing stack is large and increasingly proprietary. The company spends $8–9 billion annually on advertising and has built substantial internal programmatic media-buying capabilities under Chief Brand Officer Marc Pritchard's brand-transparency initiative, which explicitly pushes P&G toward less intermediation and more direct control over its media supply chain.
What P&G's tech stack means if you sell to them
The Azure-SAP axis is the core of P&G's enterprise infrastructure — any integration pitch should lead with native Azure and SAP connectivity. Salesforce's confirmed foothold in commercial operations means tools with native Salesforce (Sales Cloud or Commerce Cloud API) integration have a significantly shorter path to enterprise adoption and IT approval.
P&G's $1.1 billion annual IT investment and approximately $500 million tariff headwind in FY2026 create simultaneous demand for efficiency and cost-reduction technology. Supply-chain automation, AI-driven demand forecasting, manufacturing IoT, and predictive maintenance are the highest-priority spending categories given the Azure IoT Operations roll-out. P&G's build-versus-buy posture leans toward buy for horizontal platforms (ERP, CRM, cloud) but build for proprietary consumer insights and brand-analytics capabilities — vendors who position as augmenting rather than replacing internal systems tend to win.
The CIO (Seth Cohen, in role since 2014) and Chief Product Supply Officer (Luc Reynaert) are the two most important budget holders for technology vendors. Chief Brand Officer Marc Pritchard holds budget for marketing technology. All three sit in Cincinnati, making executive briefing events in Ohio the most efficient path to senior engagement.
As of June 2026.Sources:P&G Microsoft Azure SAP Migration — Microsoft Customer StoriesP&G Azure IoT Operations — Microsoft Customer StoriesP&G GE Vernova Proficy Case StudyP&G CIO AI Strategy — TIKR Blog
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