basecom Targets SAP Commerce Cloud Migration as AI Reshapes Digital Commerce

basecom, a digital consulting, e-commerce and PIM provider with more than 250 employees across offices in Osnabrück and Hanau, Germany, as well as Raleigh, North Carolina, US, has built its practice on more than 25 years of experience in consulting, development and operation of large web applications. SAP Commerce Cloud implementation now sits alongside e-commerce, product information management and data integration as core parts of that portfolio.

basecom’s SAP Commerce Cloud Practice

basecom operates as an SAP Commerce trainer, partner and service provider, a role that spans implementation, migration and ongoing optimization of the platform. The firm’s entry point for clients is a one-day SAP Go-Cloud Workshop, through which it develops an individual roadmap before migration work begins. From there, basecom says a move to the cloud can often be completed within 90 days.

SAP’s own support schedule adds urgency to that process. Official support for SAP Commerce On-Premise ends in the summer of 2026, and classic JSP-based Accelerator frontends reach end of life the following year. Published end-of-support timelines like these are a common driver of migration and re-platforming decisions across the SAP ecosystem.

basecom describes its advisory work as technology-agnostic, comparing SAP Commerce Cloud against alternatives such as commercetools, Shopware, and Emporix before recommending a direction. Such comparisons sit inside a broader industry debate over composable and headless commerce architecture that shapes how commerce platforms are evaluated across the industry.

basecom’s SAP Commerce work includes integration with SAP S/4HANA and SAP Customer Experience, machine-learning-based personalization, and a product information management component for managing catalogs, prices, and variants across channels. Its SAP Punchout offering gives major customers direct access to a client’s product catalog without requiring them to maintain a separate online store. Engagements are structured around project management, solution architecture, and training, so client teams retain the skills to run the platform after go-live.

Consulting and AI Capabilities Beyond SAP Commerce

basecom’s consulting practice extends past any single platform, offering technical and strategic guidance to companies operating in B2B, B2C, and direct-to-consumer models. Its solution architecture work helps clients plan large software initiatives and rework processes central to their operations, an approach the company frames as comprehensive and technology-neutral.

basecom applies the same advisory posture to artificial intelligence through a dedicated AI consulting offering. Its AI assessment helps clients identify potential use cases, evaluate them, and map out a deployment roadmap before committing to a build. Named use cases include agentic commerce, automated order processing, and chatbots, with agentic commerce pointing toward a broader shift in which AI agents take on parts of the purchasing process on a buyer’s behalf. Agentic AI of this kind is an emerging pattern across commerce and SAP-adjacent technology broadly, and it generally depends on clean underlying data and stable interfaces before an agent can act on them.

One specific AI capability basecom offers automatically completes and generates missing product attributes, intended to improve product visibility and reduce returns by keeping catalog data more complete. The company frames this work around measurable business benefit for its clients.

What This Means for SAPinsiders

• On-premise support ends in 2026. Teams still running SAP Commerce On-Premise face a fixed cutoff in the summer of 2026, with Accelerator frontends following in 2027. That sequencing leaves a narrow window to execute a migration before support actually lapses.
• Platform comparisons complicate vendor decisions. A technology-neutral advisory relationship may steer a client toward commercetools, Shopware, or a different platform instead of staying within SAP. Buyers should set clear evaluation criteria before engaging an advisor whose recommendations may point toward a platform other than SAP.
• Agentic AI use cases demand data readiness first. Preparing for automated order processing or agentic commerce requires governance over product data quality and system interfaces well ahead of deployment. Teams that skip this groundwork risk building AI use cases on catalogs and integrations that cannot yet support them.