At Quadratyx Solutions, we know for the fact that mid-mile and last mile delivery accounts for the maximum logistics costs. Therefore, we leverage dynamic route re-sequencing, and the latest predictive analytics to identify bottlenecks in your mid-mile and last mile delivery to deliver accurate real-time updates and predictive delay alerts. Our delivery route automation solutions quickly analyze real-time mapping data, helping you efficiently plan and schedule hundreds of stops within seconds.
Advanced machine learning techniques, big data technologies, genetic algorithms, and data engineering is used to plan the most optimal route while keeping the factors like customer delivery schedules, transportation method, time, and costs into consideration. Additionally, our Automated Route Optimization system takes several real-time inputs like feedback from agents & drivers, ETA, etc. to keep on re-optimizing the routes.
Deep learning and cognitive computing drives our robust constraint engine which intelligently identifies the availability of exact number of transportation units and where to domicile them at a particular time. Following constraints are taken into account to customize a superior route -
Late freight swapping services can greatly help if you want to add or delete a delivery point at the last moment. Our route optimization system allows you to quickly add or delete one or more delivery points even when your vehicles are out for delivery.
If you have dynamic service timings, we can provide you with predictive traffic route optimization and recurring route optimization. This helps you to choose the best possible routes for your deliveries, thereby reducing delivery time, and improve your bottom line.
User-specific reports are created which contain detailed account of experiments with multiple levers on constraint types and optimize cost, number of visits, distance travelled, fleet size, etc. to ensure quick & measurable ROI. These reports reduce overall time for planning or long-term planning, and also assist in efficiently tracking fleet and on-the-go workforce.
This feature directs your vehicles to the closest and most affordable location to replenish fuel, compressed gas, etc., preventing your vehicles from going all the way back home to re-fuel amidst deliveries, thereby, saving time, fuel consumption, and money.
Automated route planning and automated route selection allows you to quickly assign and re-assign delivery routes, thereby helping you to increase the number of deliveries per day, resulting in savings amounting to 30% in distance, 20% in the number of routes, and 25% in travel time.
If you already have in-house applications for route optimization, then we can assist you in developing APIs for your in-house apps. This helps to reduce fuel and operational costs, keep a check on frauds, and improve sales due to prompt and timely delivery.
We follow a four-step route optimization process which enables us to provide highly efficient services that help you to overcome fleet-based, location-based, and domain-specific constraints. The steps we follow include
The route optimization solution is built by a team of experts in Big Data Technologies, Data Sciences and Software Engineering. A dedicated team for product management and development is engaged to continuously improve the solution. Although our technology depth covers Big Data Solutions and cloud hosting of SaaS services, Image and text based mining solutions, End to End Machine Learning based automation solutions, Cognitive computing and deep learning, and Predictive analytics, we leverage the following tools to provide you with the best possible route optimization services