Cromwell is a wholesale industrial distributor serving manufacturing, MRO, engineering, automotive aftermarket, and trade customers with a large catalog spanning tools, fasteners, abrasives, cutting tools, safety equipment, and industrial consumables. The company serves a complex buyer base including procurement professionals, engineers, maintenance teams, workshop managers, and trade account holders, each with distinct discovery patterns, repeat-order behaviors, and specification-driven purchasing requirements.
Before the engagement, Cromwell’s commerce platform supported standard product discovery, manual quote workflows, and rules-based recommendations, but lacked the adaptive intelligence required to match industrial buyer intent at scale. SAP S/4HANA served as the operational backbone for pricing, inventory, customer master data, and order fulfillment, while Akeneo PIM held the canonical product attribute data across the technical catalog. Repeat buyers spent disproportionate time searching for previously ordered items, specification-driven discovery required manual catalog navigation, and quote-management teams spent significant capacity on routing and classification work that could be automated. Leadership prioritized AI capabilities as a strategic lever to compress buyer journeys, automate operational quote workflows, and differentiate the digital commerce experience against competitors still operating purely rules-based commerce.
