Description:
Commercial contracts with large-scale retailers are complex documents: dozens of pages, interconnected clauses, conditions that are activated in specific scenarios. The average KAM has neither the time nor the legal training to analyze them thoroughly. The result? Unfavorable clauses that are only discovered when it is too late.
Penalties for non-delivery hidden in Appendix B. Payment terms that are extended by 30 days in the event of disputes. Co-marketing obligations that absorb unforeseen budgets. Every contract signed without in-depth analysis is a latent risk.
Generative AI transforms contract analysis from a bottleneck into a competitive advantage. By uploading the draft contract, the system automatically extracts all relevant clauses, compares them with company guidelines and previous contracts with the same customer.
The output is a one-page executive summary with: critical clauses highlighted, risks quantified, suggested changes with industry benchmarks, and comparison with the previous year's agreement. The KAM arrives at the negotiating table knowing exactly where to negotiate.
Review time goes from hours to minutes. But above all, no unfavorable clause goes unnoticed anymore.
Requirements:
- Documents: Archive of historical contracts (last 3-5 years), company contract guidelines, standard contract templates by customer type
- Knowledge base: Standard industry clauses, large-scale retail trade condition benchmarks, past dispute case studies
- Technology: AI platform with document parsing capabilities (PDF, Word), understanding of english or foreign legal/commercial language
- Validation: Final review process by legal/commercial department for contracts above threshold
- Estimated effort: Knowledge base setup 4-12 weeks, training on company contracts 2 weeks
Expected benefits:
- Contract review time: up to -70%
- Identification of risky clauses: up to +85% accuracy
- Standardization of corporate compliance
- Recovery of margin leakage from unfavorable clauses: up to 5% of turnover
