What You’ll Find in this Case Study:
- Route Optimization Analytics Challenge Faced by the Client
- Client’s Situation
- Route Optimization Analytics Solution Offered by Quantzig
- Business Impact
Route Optimization Business Challenge
Optimizing transportation route to reduce service costs
A leading oil and gas company wanted to assess its transit standards to identify opportunities for optimizing the transportation routes and reduce service delivery costs.
After attending one of our webinars on supply chain analytics, the major oil and gas player decided to connect with us to enhance their route optimization through the power of analytics.
Situation
High distribution costs
The oil and gas client’s initial transit time benchmarking across multiple routes and historical shipment data revealed that its distribution costs were higher than the average market costs. The oil and gas company wanted to reduce transportation costs by implementing route optimizing techniques.
Want to learn more about our analytics solutions for oil and gas companies? Get in touch with us.
Route Optimization Analytics Solution Offered
Route optimization analytics to determine the most profitable route plan
We collected data from the oil and gas client’s logistics systems and analyzed it using cluster analysis, conjoint analysis, scenario analysis, and what-if analysis, to measure their current performance in terms of the number of sites/nodes in each route, total distance traveled, delivery frequency and costs, transit time through weekdays and weekends, delivery standards for time-critical delivery. Based on this, we provided suggestions on optimizing the route plan.
To know more about transport route optimization, Request for a FREE proposal today!
Business Impact
Significant reduction in logistics costs
The oil and gas client utilized our model for identifying alternative routes and cargo mix to cover the maximum number of clients across the route and decide the right set of stops in the route. This reduced the total distance traveled and transit time while delivering a significant reduction in cost for the client, to come at par with the market averages.
