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Introduction of specialized forecasting software
Structured software selection for Lehvoss
Together with valantic, Lehvoss identified the right forecasting software for optimizing sales planning as part of a structured tender – based on clearly defined requirements and a systematic evaluation process.
About the company
Lehvoss is an international provider of distribution, trading and production of chemical and mineral specialties. With around 600 employees and an annual turnover of over 400 million euros, the company decided to introduce specialized forecasting software as part of the further development of its S&OP process. Together with valantic, a structured tender was carried out to identify a suitable solution.
The project
The challenge
Following the introduction of a new, Excel-based S&OP process, Lehvoss aimed to achieve a sustainable improvement in forecasting quality. The aim was to increase both the accuracy and efficiency of sales planning with a suitable software solution. The challenge was to select a suitable tool from a broad provider market and to evaluate complex requirements in a structured manner.
Consulting approach
1. Preparation of the tender
- Joint definition of the functional and technical requirements
- Preparation of professional tender documents (NDA, RFI, RFP, specifications)
2. Execution of the tender
- Sending the documents to 12 qualified providers
- Collection and evaluation of feedback
3. Negotiation and selection process
- Conducting negotiations with 3 providers
- Evaluation of costs, functionalities and integration capability
- Recommendation of a suitable software solution
Solutions & results in detail
Thanks to a structured tender with clear requirements and a standardized evaluation model, Lehvoss was able to design the selection process in a targeted manner. The decision in favor of suitable forecasting software was based on a transparent process and a well-founded analysis.
Conclusion
Together with valantic, Lehvoss laid the foundation for more efficient sales planning. The new software improves forecasting quality, increases planning reliability and reduces manual effort in the long term.
