Return on Sales or Revenue Growth? Why Neither Is Sustainable Without AI
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The reality of wholesale. Growth at any cost?
Even though we often hear otherwise, many German specialty wholesalers face the same dilemma. Revenues are rising, yet at the end of the year less and less profit remains.
Sales increase, costs rise as well. At the same time, suppliers are increasingly selling directly to end customers, putting additional pressure on margins. Sales teams are also struggling with a shortage of skilled staff.
Anyone who carries responsibility as a managing director or sales leader in wholesale today knows this. More revenue does not automatically mean more profit. And yet this reflex is hard to abandon. For decades, growth was considered the key to success. In times of rising purchase prices, labor shortages, and digital competition, however, this equation no longer holds.
The result is clear. Many companies focus relentlessly on boosting revenue while overlooking the fact that the real lever for sustainable success is return on sales.
Growth drivers in wholesale. Between gut feeling and data reality
If you look beyond the revenue figures of many wholesalers, one thing quickly becomes apparent. Growth rarely happens by chance. Three levers play a central role: cross selling, pricing, and churn management. Cross selling ensures that existing customers buy more from the same supplier. This is ideal, as expanding existing customer relationships is significantly more cost effective than acquiring new ones. Pricing determines whether revenue actually turns into margin. Churn management, meaning the prevention of customer attrition, protects earnings in the long term.
Yet many wholesalers use these levers inadequately. Sales teams rely on experience, but not on systematic support. Data is available, often in the millions within ERP systems, but hardly anyone uses it to derive clear, actionable insights.
This is where predictive sales in specialty wholesale comes into play. With the help of artificial intelligence, patterns in historical data can be identified and future purchase probabilities, price sensitivities, and churn risks can be forecast. Our software allows these insights to be automated. This is how return on sales can be protected in a systematic way.
What exactly is return on sales and what is considered good?
Return on sales, also known as ROS, indicates how much profit is generated per euro of revenue. A return on sales of 3 percent means that out of 100 euros in revenue, only 3 euros remain as operating profit. This information can be found in the annual financial statements filed in the company register, which often already include all costs, including warehousing and personnel.
Return on sales in wholesale varies greatly depending on the industry. In food wholesale, average target values of around 0.7 percent are often cited. In German wholesale and foreign trade, the average return on sales in 2020 was around 4.8 percent. According to another statistic, general trade excluding wholesale achieved only about 4.5 percent.
Does that sound low? Welcome to the reality of wholesale. While the gross margin, meaning the share remaining after deducting direct cost of goods sold, often ranges between 12 percent and 30 percent depending on the sector, fixed costs, personnel expenses, and discounts frequently reduce return on sales to just 2 percent to 5 percent. Even these figures vary significantly depending on assortment, customer structure, and competitive pressure.
Of course, this always depends on which costs are included, for example whether inside sales or logistics costs are fully allocated. As a benchmark, however, this range provides a realistic starting point.
The bigger issue is that many companies do not actually know their true return on sales. Successful companies protect this figure with great discipline. They do not allocate costs across the board, they grant discounts selectively, and they safeguard margins at both customer and product level. Without precise, AI based pricing, reliably protecting margins becomes very difficult.
Or to put it more humorously. Increasing return on sales in wholesale without AI driven pricing is like boiling water without electricity. Theoretically possible, but not very practical.
When growth eats into profitability
Many wholesalers invest enormous energy in revenue growth. New customers, new products, new channels. This is sensible and often necessary. Yet it frequently comes at the expense of margin.
One example. A field sales representative wins a new customer by offering a high discount to secure the deal. Revenue increases in the short term, but the contribution margin declines in the long run. At the same time, existing customers start to drift away because they feel less well supported. This creates the classic pattern of more revenue with less profit. This is exactly where the conflict between revenue growth and return on sales becomes visible.
Only companies that grow while remaining profitable can succeed sustainably. In modern wholesale, this is only possible with artificial intelligence. Why? Because even with 1,000 customers and 1,000 products, one million possible combinations emerge. How many do you have? Enjoy working with Excel.
Cross selling without pricing. Why incomplete AI falls short
Many providers today promote AI in sales or even ChatGPT based sales solutions. Caution is advised. Not every AI delivers on its promises.
A system that merely provides cross selling recommendations without considering pricing and margins can even be counterproductive. If an AI suggests selling product A to customer Z without checking the profitability of that product or the typical order quantities, a dangerous imbalance arises. It is like telling sales teams to sell more of what generates little profit.
The idea of prioritizing customers based on revenue potential, preparing meetings more effectively, and managing everything via smartphone, phone calls, or directly in Outlook and CRM may sound appealing. But without pricing intelligence, it often leads to higher costs and limited returns.
Cross selling without pricing is like a navigation system without a destination or a play without a second act. It may look impressive and display many colorful routes, but it does not lead anywhere.
This is why successful wholesale companies rely on integrated solutions that combine cross selling, churn, and pricing while focusing on profitability rather than revenue alone. This is where Qymatix Predictive Sales comes in.
Predictive analytics in specialty wholesale. How AI protects margins
Modern predictive analytics in specialty wholesale go far beyond simple reports or product recommendations within CRM systems. By combining historical ERP data with machine learning, concrete recommendations for action are generated. Our software highlights which customers are at risk of leaving and where untapped cross selling potential exists. It also ensures that market appropriate pricing is taken into account so that opportunities and risks can be addressed effectively. This allows companies to identify products where price adjustments are needed in order to increase profitability rather than just volume.
These insights are extremely valuable because they help focus limited sales resources on the most profitable customers instead of wasting time on random conversations. AI does not replace salespeople, but it makes them more effective. This is what sales planning with AI support looks like. Selling with insight rather than instinct.
One major advantage is that AI works without the need for a new ERP or CRM system or a mobile application. Solutions like Qymatix are ERP agnostic and integrate with systems such as SAP, SHC, eBootis, enventa Trade ERP, or myfactory. Costly migrations or multi year projects are not required. The ERP system manages the data, artificial intelligence interprets it. The combination of ERP and AI is therefore not a contradiction, but a logical next step in the evolution of wholesale.
A real world example illustrates this. A plumbing and heating wholesaler with 8,000 customers and 60,000 products uses Qymatix to balance price and margin discrepancies and identify outliers. The software automatically detects margin deviations of up to 20 percent for the same purchasing volume as well as excessive discounts granted to supposed top customers. After six months, the company achieved an improvement in return on sales of 6.4 percent. Discount spend was reduced by 10 percent and the sales team became more motivated. As the CEO put it, finally we can make decisions that show up in the profit and loss statement, not just in our gut feeling.
CALCULATE NOW THE ROI OF QYMATIX PREDICTIVE SALES SOFTWARE
AI in wholesale. From theory to practice
Implementing AI in wholesale is not an end in itself. We advise our customers not to adopt technology for the sake of trends, but to use it to make better decisions faster. The first step is to choose an experienced AI provider, automate actionable insights, and support sales teams with clear priorities.
Human expertise remains essential. No algorithm can replace experience, but it can enhance it by drawing on insights from millions of transactions. This is what creates the difference between human intuition and machine precision. Together, they are powerful.
For over ten years, Qymatix has helped specialty wholesalers in Germany increase return on sales and protect margins. Our predictive sales solution for B2B wholesale is based on more than a decade of experience with millions of ERP data points and real world sales practices, not on ChatGPT, theoretical models, or attractive dashboards. We combine cross selling, churn, and pricing in an integrated platform that is independent of ERP systems, quick to implement, and delivers measurable results within weeks.
In wholesale, success is not defined by who generates the highest revenue, but by who achieves the healthiest profit. Growth without profitability is a bottomless pit. The good news is that with the right combination of experience, data, and AI, both goals can be achieved. Higher revenue and stronger return on sales.
Get in touch with us and discover where untapped profit potential lies within your sales organization. Those who start using AI today will sell with an advantage tomorrow.