Rising procurement costs, volatile markets and new regulatory requirements are making purchasing more complex than ever. Is Excel or an ERP system still sufficient to efficiently manage supplier prices? Many companies are reaching their limits here - too many manual processes, too little transparency. Yet enormous savings potential lies hidden in purchasing data.
With intelligent price analyses and AI-supported recommendations for action, this potential can be systematically leveraged. But how does this work in practice? Our experts at Tacto show how companies can optimize their costs, gain better negotiating arguments and sustainably transform purchasing with a data-driven purchasing strategy.
Optimizing purchasing costs is a key challenge for medium-sized industrial companies. In times of geopolitical uncertainty, rising procurement costs and increasing regulatory requirements, data-driven purchasing management is becoming increasingly important. Classic methods such as Excel-based evaluations or purely ERP-based analyses are reaching their limits. A new generation of purchasing software relies on intelligent price analyses and AI-based tips to make savings potential visible and specifically improve purchasing strategies.
But what does that mean in concrete terms? And how can companies use these technologies effectively? Our experts Robert Kaiser (Head of Customer Experience at Tacto) and Constantin Blome (Product Development at Tacto) show how Tacto's SRM software offers an innovative approach to optimizing costs, automating processes and making data-based decisions.
Purchasing is under more pressure today than ever before: cost reduction and strategic future security must be ensured at the same time. While companies have to react to volatile procurement costs, inflation and supply bottlenecks on the one hand, they are also forced to invest in the digitalization and resilience of their supply chains.
Increasing demands on purchasing
Numerous external factors make cost control and long-term planning difficult:
These developments mean that purchasing must take on more and more tasks that go beyond simply negotiating prices. At the same time, purchasing is expected to have a positive impact on the company's profitability through cost savings.
Lack of digital support complicates cost optimization
Many companies still use outdated methods for price monitoring that involve manual analysis in Excel or rudimentary reports from the ERP system. The biggest challenges are:
To solve these problems, intelligent pricing analysis and AI-powered purchasing strategies are essential.
How do intelligent price analyses work in practice?
Intelligent price analyses use automated data evaluation and visual dashboards to create transparency about price developments. Historical price changes, supplier conditions and market developments are systematically recorded and analyzed.
1. Recognize price changes at a glance
2. Detailed comparison options for better negotiation arguments
3. Analysis of the causes of price changes
4. Automated reporting for management
These functions enable purchasing to respond proactively to price developments instead of just recording price adjustments retrospectively.
Artificial intelligence (AI) in purchasing means that algorithms automatically recognize optimization potential and provide recommendations for action based on this.
Tacto uses various AI levers to analyze purchasing data and generate targeted suggestions for cost savings.
1. Recognition of patterns in price and quantity developments
2. Identification of price jumps
3. Identifying inefficiencies in ordering behavior
The use of intelligent price analyses and AI-based purchasing solutions enables strategic control of purchasing. Instead of carrying out laborious manual analyses, companies can use Tacto to automatically identify potential savings, conduct more informed negotiations and optimise purchasing processes .
The advantages at a glance:
✔️ Transparency about price developments and cost drivers
✔️ Automated analyses for efficient decision-making
✔️ Better negotiation through data-based arguments
✔️ Realize savings potential in a targeted manner with AI-based recommendations for action
As digitalization progresses, purchasing is increasingly determined by data-driven processes. In the coming years, AI models will provide even more precise forecasts of price developments and help purchasing teams react even faster and more efficiently to market fluctuations .
Companies that implement intelligent purchasing software early on benefit in the long term from better conditions, lower costs and a more resilient supply chain.