Digitalization Alone Is Not Enough: The Overlooked Margin Lever in Wholesale
Please enter your Email address
The wholesale industry is investing. Warehouses are being automated, new ERP systems are being introduced, e-commerce platforms are being built, and processes are being digitalized.
At the same time, many companies are taking an intensive look at artificial intelligence, automation, and more efficient sales processes. Anyone who accuses the wholesale industry of standing still is not looking closely enough.
And yet, many companies are currently facing a contradictory situation: systems are becoming more modern, but pressure on margins and sales remains high or is even continuing to increase.
Why is that?
Digitalization improves processes. But not automatically profitability.
Digitalization in wholesale has long since become a reality. Companies are investing in modern warehouse management, automated ordering processes, e-commerce, digital customer portals, and new sales platforms. According to the German Federal Association of Wholesale, Foreign Trade and Services, or BGA, investments in digitalization, modern logistics systems, and automation are now considered essential for ensuring the future viability of the wholesale sector.
The technical wholesale sector also remains willing to invest despite difficult economic conditions. The German Association of Technical Trade, or VTH, describes an environment in 2025 characterized by a weak economy, geopolitical tensions, and increasing demands, while many companies continue to invest in digitalization and AI.
So the general direction is right. The problem lies elsewhere. More efficient processes alone do not automatically increase profitability.
A digitalized warehouse does not decide which customer the sales team should focus on today. A modern online shop does not automatically prevent unnecessary discounts. And an ERP system alone does not prioritize customer relationships. Many wholesalers have modernized their infrastructure. At the same time, however, sales teams often continue to work reactively.
Where Companies Can Take Action Themselves
Everyday life in wholesale has become more complex. The number of products, customer requirements, and available information is increasing, while the time available to sales teams remains limited. At the same time, price pressure, economic uncertainty, and intense competition are increasing the pressure to act.
Individual companies can influence many of these conditions only to a limited extent. However, they can decide how selectively they use their existing resources and on what basis sales decisions are made.
As a result, sales teams face questions such as the following in their daily work:
- Which customers currently require particular attention?
- Where could additional sales potential exist?
- Which price developments should be examined more closely?
- And which changes in purchasing behavior could indicate a risk?
Traditional reports and Excel analyses provide important information for these questions. However, with large customer bases and extensive product ranges, retrospective analyses alone are often not enough to quickly identify which topics are currently most relevant.
Why Many ERP Systems Fail to Realize Their Full Potential
Many wholesalers already have the necessary information. ERP systems contain enormous amounts of valuable data:
Purchasing histories, price developments, contribution margins, cross-selling patterns, customer activities, and indications of churn risks.
The problem is rarely a lack of data. The problem is a lack of prioritization. In many companies, ERP data is mainly documented, but not actively used to support better sales decisions.
This is precisely where modern AI-based predictive analytics systems demonstrate their greatest value. They help sales teams identify the right customers, opportunities, and risks more quickly.
Not as an additional report. But as practical support in day-to-day operations.
The Direct Lever for Margins
Many market factors can only be influenced to a limited extent.
Geopolitical developments, regulatory requirements, volatile energy prices, and economic uncertainty are beyond the direct control of wholesalers. At the same time, customer expectations continue to rise. Business customers increasingly expect digital self-service options, personalized communication, and fast processes.
This is exactly why direct levers for improving profitability are becoming increasingly important. And this is precisely where the potential of AI-based predictive sales software is often underestimated.
Existing ERP data often contains enormous revenue and margin potential that remains hidden in day-to-day operations.
Our experience shows that the Pareto principle can often also be applied to customer data: A large proportion of revenue is generated by a comparatively small proportion of customers.
The key question is therefore: How much potential remains undiscovered among the remaining customer groups? Predictive analytics helps make precisely these opportunities visible:
- Which customers could buy more?
- Which combinations work particularly well?
- Where is cross-selling worthwhile?
- Which pricing decisions put margins at risk?
- And which customers are developing negatively?
In medium-sized wholesale companies in particular, this can often produce quick results because the necessary data is already available.
Why “More Digitalization” Alone Is Not Enough
Digitalization remains important. There is no question about that. Automated warehouses, modern platforms, digital processes, and AI will continue to shape the future of wholesale.
For example, the B2B Market Monitor 2025 by ECC Köln, FIS, and Shopware shows that B2B online sales by manufacturers and wholesalers grew by seven percent to €509 billion in 2024.
However, many companies are currently finding that process digitalization alone does not automatically lead to better margins. Profitability is not created solely through more efficient processes, but also through better decisions. Companies that actively use their ERP data provide their sales teams with exactly this kind of orientation: Greater focus.
CALCULATE NOW THE ROI OF QYMATIX PREDICTIVE SALES SOFTWARE
Conclusion: Wholesale Is Moving Forward. The Next Step Is Data-Driven Prioritization.
The wholesale industry is already investing heavily in the future.
However, the key question is no longer simply whether processes are being digitalized. It is whether companies are already actively using their data to make better sales decisions.
Because this is precisely where a significant competitive advantage is created today.