Real-Time Logistics Optimization: How NextBillion.ai Transformed RutinRota’s Routing with Dynamic, Data-Driven Solutions.

About Company

Rutinrota Software Ltd. Co. is a geospatial technology based company which offers GIS consulting, spatial data engineering, customized solutions, training, outsourcing, and third-party application maintenance services to its users. They assist in planning, implementing and leveraging geospatial IT and data insights to its users and offer broader information availability and utility, in both Turkey and international markets.

The Problem

RutinRota constantly faces challenges in accommodating  dynamic or ad-hoc routing requirements due to limitations in real-time traffic data integration and inaccuracies in travel time calculations. These issues caused several critical inefficiencies:

• Absence of Real-time Traffic Insights
  The customer lacks real-time insights, as their current routing platform only supports historical data. This limitation has resulted in missed opportunities for critical information about road conditions and traffic, leading to suboptimal routing decisions.
• Inadequate Synchronization of Live and Historical Data
  The current routing solution does not incorporate traffic data with historical data, which is essential for optimizing real-time deliveries.  This limitation poses a significant challenge for operating 300+ delivery vehicles, leading to inefficiencies and potential delays in service.
• Rigid Routing Options
  Their existing system does not support routing options tailored to vehicle type and time windows, which has further limited the effectiveness of the routing solution, preventing optimal allocation of resources and resulting in delays and inefficiencies in meeting customer delivery requirements.

The Solution

To address these challenges, RutinRota partnered with NextBillion.ai to transform their logistics with an advanced, customized routing solution. NextBillion.ai integrated their Route Optimization API, Distance Matrix API, and Clustering tools, enabling RutinRota to create highly tailored, data-driven routes for efficient delivery. The core elements of the solution included:

• Synergy Between Real-Time and Historical Data for Enhanced Routing Precision
  This solution enables the customer to effectively use the insights of both real-time and historical data to plan and optimize precise vehicle routes. The Route Optimization API helps in generating real-time routes while actively considering the time windows and the priority of distributing goods throughout the day. 
• Tailored Routes Optimized  to Complement Vehicle Types
  The customer was able to create customized routes that account for the unique needs and characteristics of different vehicle types in a fleet. This approach helps in managing routes while  considering factors like vehicle size, weight, fuel type, and restrictions (e.g., height for trucks or restrictions in low-emission zones).
  
• Optimal Route Planning
  The offered solution helped the customer to plan the routes that accounts for various factors such as distance, traffic conditions, fuel consumption, time windows, vehicle types, and delivery  preferences. It has helped them to minimize travel time and costs while maximizing resource use and expanding delivery operations.

The Outcome

The  integration of NextBillion.ai’s route optimization APIs revolutionized the customer’s logistical operations, significantly enhancing efficiency by merging real-time data insights with historical data. This solution creates tailored routes that account for vehicle type and size, optimizing route plans for greater productivity and streamlined operations.