Environmental Impact
Projected carbon reduction through local consolidation logistics
Our model: A Kootenays case study
We've calculated how StockRun's Decentralize and Locally Consolidate Model (DALCM) could reduce carbon emissions by up to 85% compared to traditional distribution methods within the Kootenays region. This model demonstrates how StockRun could transform food distribution in Castlegar, Trail, and Nelson while reducing environmental impact.
The model: Instead of separate trucks from Vancouver-or-Kelowna-based distributors driving to each restaurant, StockRun's local consolidation could eliminate an estimated 5,903 kg of CO₂ emissions per restaurant annually: that's like taking a car off the road for nearly an entire year.
Hypothetical comparison for Kootenays restaurants:
- Traditional Vancouver route: 12,805 kg CO₂ annually per restaurant
- Traditional Kelowna route: 6,308 kg CO₂ annually per restaurant
- Traditional with multi-stop overhead: 6,943 kg CO₂ annually per restaurant
- StockRun DALCM: 1,040 kg CO₂ annually per restaurant
How DALCM eliminates inefficiencies
Our analysis shows that consolidation doesn't just reduce emissions, it could eliminate the operational inefficiencies that drive up costs in traditional distribution:
Multi-stop delivery challenges: Traditional distributors making multiple stops across the region would add an estimated 635 kg of CO₂ per restaurant annually through idling time (16.5 kg CO₂/hour), stop-and-go inefficiency, and route optimization challenges.
Consolidation advantage: Our model uses optimized 40-kilometer local routes with two weekly deliveries, potentially serving 100+ food service establishments with consistent scheduling and reduced environmental impact.
Regional considerations for the Kootenays
The Castlegar, Trail, and Nelson region presents unique logistics challenges with mountain geography and seasonal accessibility. Our model is designed to address these specific regional factors:
- Shorter, local routes reduce weather-related delivery disruptions
- Local consolidation points improve reliability during winter conditions
- Decentralized and regional supplier network reduces long-haul transportation needs
- Community-focused approach keeps economic benefits local while reducing emissions
Smart tech for waste reduction
Beyond logistics efficiency, our platform includes features designed to reduce waste at every step:
- AI-powered inventory management helps restaurants order more accurately, reducing over-purchasing and food waste
- Predictive analytics analyze consumption patterns to optimize inventory levels
- Route optimization algorithms continuously improve delivery efficiency
- Local supplier prioritization reduces transportation distances and supports regional agriculture
Methodology and transparency
Our environmental impact projections are based on:
- Distance calculations: Actual driving distances between major distribution centers and Kootenays restaurants
- Fuel consumption data: Standard semi-truck efficiency metrics (37L/100km highway, 45L/100km urban)
- Emission factors: 2.5 kg CO₂ per liter of diesel fuel
- Multi-stop overhead: Idling emissions and stop-and-go inefficiency calculations
- Regional analysis: Estimated 100 food service establishments across the three-city region
Building toward measurable impact: As we grow our network in the Kootenays, we'll track and report actual environmental benefits, ensuring our projections translate into real-world carbon reduction for the communities we serve.