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How We Created a Smart Algorithm to Optimize Delivery for a Cold Chain Logistics Company

How We Developed An Online Booking System & Driver App For a Logistics Company

Smart Delivery

Overview

Smart Delivery, a logistics and transport business based in the EU reached out to Brainium to develop a custom algorithm that automatically creates an optimized delivery plan for their fleet of trucks, after calculating multiple parameters.

Our client Smart Delivery, is primarily involved in the logistics and transport sector in Sweden. At present, Smart Delivery is one of the leading companies offering safe and environmentally certified cold chain deliveries throughout Sweden. 

They help both large and small companies with refrigerated transport to homes. Understanding the vital need for an unbroken cold chain, our client ensures that all their last-mile deliveries are characterized by high security, a state-of-the-art logistics platform, and personalized service. 

 Brainium’s team of experts built a smart algorithm that powers the platform our client utilizes to manage their entire cold chain logistics. The solution we developed gives our client complete control over their transport and logistics processes. Brainium’s custom algorithm has helped to make our client, Smart Delivery, the top-rated last-mile delivery platform available in the market. 

Challenges We Addressed

In the beginning, our client struggled to find experts in custom algorithm development. After a series of unsuccessful discussions with developers, they finally reached out to Brainium’s IT consultants. Our first step was to thoroughly understand their pain points and define their specific requirements for a smart logistics platform.

  • The primary challenge was optimizing the delivery of temperature-sensitive products through an unbroken cold chain, ensuring safe last-mile deliveries to homes.
  • This issue arose because, with thousands of deliveries to make each day, human agents could not manually create optimized route plans for multiple trucks or calculate the minimum number of trucks required for efficient delivery.

Our Approach

In our initial approach, we applied a standard ‘shortest path’ algorithm from graph theory, combined with the Google Routes & Distance API, to calculate optimal routes for deliveries. However, this method failed to produce the expected results in terms of both accuracy and efficiency. To overcome these limitations, we developed a customized algorithm tailored to handle complex delivery conditions, ensuring improved performance and more reliable results.

Tech Stack

Use Of Technology
  • Python
  • Laravel
  • MySQL
  • HTML
  • CSS

Solution

To optimize Smart Delivery’s logistics, we created a custom algorithm that considers multiple variables, enhancing route assignment accuracy, operational reliability, and scalability for complex delivery scenarios.

  • Brainium’s team of specialists in algorithm design, machine learning, and software development, built a custom algorithm for our client’s platform. The algorithm was designed to calculate factors like multiple drop locations, drop time overhead, breaks (rest time), and working hours.
  • We began by defining the routing matrix. Every delivery location became a node, each linked to factors like:
    • consumer-preferred delivery times
    • delivery agents’ working hours 
    • near real-time traffic updates 
    • characteristics of the local geography

 The robust algorithm we crafted took into account all these interconnected variables.

  • The development process involved extensive brainstorming and quality assurance (QA) iterations to enhance the algorithm’s accuracy, reliability, and ability to handle complex delivery scenarios.
  • The resulting algorithm that we built for Smart Delivery, efficiently manages multi-level use cases, delivering significant improvements in route assignment accuracy, operational reliability, and scalability.

Results

The implementation of our custom algorithm has transformed Smart Delivery’s operations, improving route efficiency, scalability, and customer satisfaction, while automating complex logistics and reducing manual interventions.

Precise Route Assignments
The system enables accurate route assignments, significantly reducing missed or delayed deliveries.
Seamless Handling of Customer Preferences
The algorithm tailors deliveries based on customer-preferred times and driver schedules, ensuring better service.
Improved Scalability
The solution allows Smart Delivery to handle increasing delivery volumes while maintaining performance and accuracy.
Traffic-Optimized Routes
The system accounts for real-time traffic data, minimizing disruptions and improving delivery efficiency.
Simplified Operations
Operational complexity is reduced, allowing the client to focus on business growth and scaling, rather than manual logistics management.
Reliability in Challenging Conditions
The algorithm delivers consistent results even under complex geographic and logistical constraints.
Reduced Manual Intervention
Automation minimizes the need for manual route planning, making the system adaptable to changing delivery needs.
Increased Customer Satisfaction
By consistently meeting delivery timelines, customer trust and satisfaction are significantly improved.

Client Feedback

Nothing feels better than delivering exactly what our client needs. Smart Delivery was genuinely pleased with the customized approach we provided.
“I can’t thank the Brainium team enough. Our delivery system was quite chaotic. They created an algorithm that factored in our highly complex delivery needs with ease. Thanks once again for enabling us to be the market’s sharpest last-mile platform”

Testimonials

How our services bring about success