Margins under pressure, sales often reactive. Systematic management of customer segments and field sales is rarely in place.
German wholesale, with annual revenues of around 1.7 trillion euros and 1.9 million jobs, is one of the cornerstones of the national economy. And yet: sentiment is at a low point. More than half of German wholesalers saw revenue decline in 2025. For 2026, the BGA is projecting only minimal growth of 0.7%.
The causes are structural and layered: margins are being squeezed from both sides of the value chain — rising procurement costs on one side, more price-conscious buyers on the other. Geopolitical uncertainty is weighing on supply chains. Competition is intensifying through direct-to-market manufacturer models and digital platforms. What makes the difference in this environment is not the product assortment — it is how structured sales and customer segmentation are managed.
Who visits which customer how often depends on each field rep's personal judgment — not a systematic prioritization logic. A-customers do not receive more attention than C-customers.
Orders are taken, inquiries are processed. But no systematic work-through of the customer base for potential, decline, or churn risk. Customers who order less are eventually noticed — but too late.
Many wholesalers know their A, B, and C customers roughly — but very few have derived a differentiated coverage strategy from that. Equal resources for everyone means: too much for the small ones, too little for the large ones.
Growth comes almost exclusively from existing customers. New customers emerge through referral or chance — not through an active acquisition process with clear logic.
Order entry, complaint handling, administrative follow-up — the share of active selling time in wholesale often falls below 30%. AI and automation could free up capacity here directly, but are rarely deployed.
We define clear A/B/C criteria based on revenue, potential, and strategic importance — and derive differentiated coverage models from them: who gets which visit frequency, which offers, which service level?
We create a logic by which field sales capacity is concentrated on customers with the highest leverage — instead of being distributed evenly across all accounts.
Early churn indicators, cross-selling logic, and systematic annual review conversations — we build the process that systematically unlocks existing account potential before customers switch to competitors.
AI-assisted visit preparation, automated order entry, intelligent prioritization lists — we identify the use cases that genuinely save time in wholesale sales, and guide the rollout in a practical way.
More revenue from your existing customer base. Covering the right customers with the right intensity does not require new resources — it requires better allocation of existing ones.
Early detection of churn risks. Structured customer data and clear warning signals make it possible to address at-risk accounts before the order stops coming.
Higher active selling time in the field. By automating non-sales tasks, the share of genuine selling time increases — at the same headcount.
More predictable forecast for better planning. A functioning pipeline logic connects sales activities with revenue expectations — and gives procurement, logistics, and management a more reliable foundation.
Growth capability despite margin pressure. A structured sales function focuses resources on customers and segments with the best margins — instead of treating everyone equally and losing margin everywhere.
Let's take 30 minutes to identify where the biggest lever in your revenue system lies — and what a meaningful first step for your company would look like.
No pitch. A structured initial conversation with a concrete outcome.