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August 27, 2025
Sales & revenue optimization
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A prominent mall chain in Peru transformed its collections and sales management through a digitization project focused on efficiency and financial control.
The Challenge
The company faced significant challenges in managing collections and sales control:
Slow manual processes delayed reports and collections.
Difficulty forecasting revenue due to the lack of predictive models.
Limited traceability to validate sales results by tenant.
Specific Objectives
- Accelerate collection times by reducing manual processes and improving cash flow.
- Increase sales predictability through analytical models and predictive algorithms.
- Optimize financial and tax control to reduce risks and revenue leakage.
- Automate report generation by integrating real-time information from SAP.
Phases
Phase #1
Sales prediction
Development of an algorithm with 90% confidence, considering seasonality and key events.
Phase #2
Report Automation
Integration of a platform with SAP to validate and summarize sales by tenant.
Phase #3
Tax optimization
DDefinition of automated processes to improve traceability, control, and reduce financial risks.
Results
Initiative 1
Collection time reduced by 20 days with real-time digital reports.
Initiative 2
30% savings in marketing, increasing campaign ROI.
Initiative 3
35% improvement in tax profitability, reducing revenue leakage.
Iniciativa 4
Conversion of manual processes into efficient digital solutions, driving profitability and financial control.
Conclusion
This project demonstrates how a well-executed digitization strategy enabled the mall chain to optimize its financial and commercial processes, achieving faster collections, better sales control, and a significant increase in profitability.
