Industry: Medium-sized food manufacturer

Challenge:

• High transportation cost due to manual route planning
• No clear visibility of total distance and CO₂ emissions

What We Did:

• Analyzed order, route, and shipment frequency data
• Developed AI models to recommend optimal delivery routes
• Built a logistics dashboard for tracking distance, cost, and CO₂ in near real-time

Results:

• 22% reduction in total distance
• 18% reduction in CO₂ emissions
• 12% logistics cost reduction within 6 months

Industry: Automotive parts manufacturer exporting to the EU

Challenge:

• Fragmented Excel-based data collection for activity data
• ESG/Carbon reports taking 1–2 months each quarter

What We Did:

• Designed data structures aligned with GHG Protocol and ISO 14064
• Implemented automated carbon calculation workflows
• Used Generative AI to draft ESG and CBAM reports

Results:

• Reporting time reduced from 2 months to 3 days
• Data accepted by European customers
• Internal team can update and generate reports on their own

Industry: FMCG distributor

Challenge:

• Frequent stock-outs and overstock situations
• Demand forecasting based mainly on gut feeling

What We Did:

• Analyzed historical sales and seasonality
• Built AI-based demand forecasting models
• Integrated forecasts into purchasing and distribution planning

Results:

• 30% reduction in stock-out incidents
• 15% reduction in average inventory value
• 20% improvement in forecast accuracy