Know your customer, run your supply chain
Retail and consumer goods have the second-largest AI value pool of any sector: McKinsey estimates US$400–660 billion in additional annual operating profit if generative AI use cases were fully deployed, a potential 44% uplift. The value is concentrated in exactly the areas we work: forecasting, pricing and assortment, commerce content and back-office cost.
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Three forces reshaping the sector
Forecast accuracy is the new margin lever
Commerce content is a bottleneck
Back-office cost is under scrutiny.
Where we create value
Demand forecasting and inventory optimisation.
BigBrain models with forecast accuracy improvements of up to 50% [PP claim], reducing stock-outs and markdowns. Practice: Data & Analytics.
Pricing, promotion and assortment analytics
Self-serve insight for merchandising teams through Click.
Ecommerce development and content
B2B and B2C platforms integrated with ERP and payments; GenSolve AI for product content at scale. Technology SaaS.
Procurement and supplier management
Spend visibility across direct and indirect categories; 10–15% opportunity typically visible from analysis alone. Practice: Procurement Transformation.
Finance and store operations automation
FlowForge for reconciliation, settlement and reporting; ProcessExpert for store and DC process discovery.
US$400–660bn
Annual generative AI profit potential in retail and CPG (McKinsey)
32%
Lower forecast error with AI and real-time data (E2open)
+50%
Forecast accuracy on Prime Partners analytics deployments [PP claim]
5–10%
Procurement savings in year one (industry benchmark)
