Sales lives on relationships and reaction. Proactive management of assortment, customer potential, and field sales is the exception, not the rule.
German trade — with total revenues of approximately 697 billion euros (2026, HDE forecast) — is one of the largest economic sectors in Germany, and one of the most intensely pressured by transformation. More than 280,000 companies, 99% of them mid-market, are simultaneously dealing with rising costs, digital competition, and shifting buying behavior.
Nominal growth masks the real situation: inflation-adjusted revenue in brick-and-mortar retail was still below 2020 levels in 2025. 71% of physical locations report declining foot traffic. At the same time, AI maturity in trade is growing — but primarily at large companies, for forecasting and replenishment. In sales, in customer development, and in account management: virtually nothing. This is precisely where the untapped lever lies for mid-market trade and retail companies.
Who visits which customer how often depends on personal judgment. A-customers with growth potential do not systematically receive more attention than stable C-customers with no development prospect.
Which customers are not yet buying which product categories, even though the potential is there? Which cross-selling opportunities exist in the existing base? These questions are rarely answered systematically — and when they are, it is too late.
New customers come through referrals, trade show contacts, or random inquiries. An active, manageable process for reaching new target customers is almost universally absent.
Revenue planning is created by extrapolating prior-year figures — without a pipeline logic that makes opportunities and risks visible early. Procurement, purchasing, and capacity planning suffer as a result.
Revenue declines among existing customers are noticed when the order fails to arrive — not before. An early warning system that makes churn risk visible before it occurs barely exists.
We define clear criteria for which customers are worked with which intensity — by revenue, margin, assortment depth, and growth potential. Gut feeling becomes transparent prioritization.
We build the process that systematically identifies which customers have not yet fully tapped which product categories — and that addresses cross-selling potential at the right moment and in the right way.
We define the indicators that signal when a customer is beginning to buy less — and build the process that responds in time, before the revenue is gone.
Customer potential scoring, automated visit preparation, data-driven assortment recommendations, AI-assisted forecast management — we identify the use cases that generate real leverage in trade sales, and guide the rollout in a practical way.
More revenue from your existing customer base. Structured assortment and account development unlocks the potential already present in existing customer relationships — without new resources, through better management.
More predictable forecast for better planning. With a functioning pipeline logic, reliable revenue expectations emerge — as a foundation for purchasing, capacity planning, and investment decisions.
Early identification of risks. Structured customer data and clear warning signals make it possible to address at-risk accounts before the order stops or the customer switches to a competitor.
Field sales productivity that scales. Less waste, more focus — through clear priorities, a unified visit logic, and AI-assisted preparation, impact per field sales day increases at the same headcount.
AI advantage over the mid-market pack. While large retail chains already use AI, mid-market trade lags behind. Those who catch up now gain efficiency and management advantages that competitors will take years to match.
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.