Logistics analysis automation enhances decision-making and reduces supply chain costs in Latin America

Category

Project

Area

Supply Chain

Context

Manual and time-consuming processes hindered the analysis and visibility of logistics and supply chain operations. Errors in business rules and the lack of automated reports prevented fast and data-driven decision-making.

Objective

Execution in 5 waves

Achieved Results

01

Cost reduction

  1. Significant savings through the reduction of discarded scrap.
  2. Lower container costs at ports due to enhanced logistics visibility.

02

Process improvement

  1. Monitoring and correction of issues in matched exchanges.
  2. Identification of failures in distributors.

03

Predictive analysis

Performance projections for up to 12 months, including EBITDA, e-commerce, performance, and quality.

04

Greater analytical maturity

  1. Improved understanding of business rules.
  2. Increased analytical capability.
  3. Dashboard Highlights
  4. OTIF (On-Time In-Full)
  5. Indicator: Measures deliveries made on time and in full quantity.

Benefits

Reverse logistics

Indicators: Return rate, reverse logistics cost, and return cycle time.