AI that helps with tendering relocation projects.

Tendering relocation projects

From time pressure to efficiency

In the relocation industry, speed often makes the difference between winning and losing contracts. Hulshoff, active in complex relocation projects for almost a century, struggled with the time-consuming task of drafting tender responses. Every request called for detailed answers that required expertise, precision and many hours of work. The team wanted to maintain quality, but without preparation taking days. Tenders were crucial for growth, but the process put too much pressure on specialists. Together with Hulshoff, Facilitech and SevenLab explored how AI could get the process started faster without losing the human nuance.

Smart reasoning with AI

Facilitech and SevenLab developed an AI solution that automatically analyses tender requirements, formulates suitable answers and formats them according to the tender guidelines. The application recognises context, handles company-specific terminology and continuously learns from previous submissions. The result is an AI tender specialist that doesn't just generate text, but also thinks along about tone, content and structure. Development followed a practical approach. First, existing submissions were analysed, then the AI was refined with user feedback. Every step focused on reliability and simplicity, so employees could work with the new AI application with confidence.

More capacity and quality

Since introducing the AI tender specialist, Hulshoff responds to tenders faster, more consistently and with more success. The AI takes over 95% of the preparatory work, so specialists can focus on fine-tuning the proposal. This allows the team to pursue more opportunities without extra capacity. The quality of submissions has gone up thanks to a consistent tone and more complete answers. Employees experience less stress and more control over deadlines. Facilitech and SevenLab continue to develop the model with new insights, so Hulshoff keeps its lead in a competitive market.

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