Here, we share strategies, architectures, and practical insights for manufacturers, distributors, and wholesalers who are serious about their digital sales efforts. From pricing logic to customer portals and ERP integration, we show what really works—and why.
Three maturity stages — from deterministic calculation through probabilistic prediction to LLM-driven service co-pilots. What Snowflake Cortex delivers today and which prerequisites need to be in place first.
Vector embeddings, hybrid search, agentic LLMs: which AI search stage actually delivers in B2B — and which becomes an expensive pilot. Four decision questions, architecture options, honest limits.
If your forecast accuracy hangs on the gut feeling of your head of sales, and your field-service technician collects a spreadsheet of wear-parts at the end of the day, you do not need the next platform — you need a foundation that brings ERP, service tickets and IoT signals onto a common state.
In B2B, search is not an open catalogue but a view — customer-specific, contract-bound, kept consistent in real time.
Six platforms, six logics — and only a subset fits your B2B stack.
When marketing, sales and controlling each report a different revenue figure, it isn't a reporting problem. It's an architecture problem.
B2B search often fails on B2C playbooks. Seven distinct requirements — from SKU lookup to contract pricing — and what they mean for architecture and platform choice.
A B2B e-commerce project is not simply a website revamp. It is a strategic investment in your sales infrastructure. Choosing the wrong agency will cost you not just money, but years.
The numbers are striking—and sobering. According to commercetools data, 64 percent of B2B eCommerce projects in the DACH region fail or stall before reaching their goals. The culprit: not technology.
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