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Comparative Analysis: NextBillion.ai Route Optimization Outperforms Market Leader

4 mins Read

February 13, 2024

At NextBillion.ai, route optimization is our bread and butter — and we’re good at it. How good? Let us show you.

We recently received the results of a benchmarking test that pit NextBillion.ai’s Route Optimization API against that of a major competitor. Arguably the biggest player in the market. You’ve definitely heard of them. If you’re evaluating routing solutions for your fleet, you’ve almost certainly considered them.

We beat them. Decisively.

The benchmarking was run and verified by multiple prospective customers. First, let’s understand how it was done.

The Benchmarking Conditions

The route optimization algorithms were tested in three separate scenarios of mock last-mile delivery jobs and vehicles generated for the city of Los Angeles. Each scenario had four variables:

  1. Vehicles Available – The number of fleet vehicles available to solve the routing problem
  2. No. of Jobs – The total number of jobs or deliveries to be completed; this is synonymous with the l number of locations to be visited
  3. No. of Packages – The total number of packages to be delivered; this is where vehicle capacity comes into play
  4. Max. Capacity per Vehicle – The maximum number of packages each vehicle is permitted to carry

The solutions would be evaluated on the basis of three key performance metrics:

  • Vehicles Utilized – The number of vehicles utilized in the output route. Fewer vehicles utilized translates to less activation cost.
  • Total Distance Traveled – The cumulative distance covered by all utilized vehicles, in meters. Less distance means less vehicle wear and tear and lower fuel consumption.
  • Total Duration – The total time taken to complete the assigned jobs, in hours. Faster completion results in lower labor costs and happier customers.

Both routing solutions were fed the same set of problems and tasked with finding the most efficient routes for each scenario. Upon completion of the optimization process, the results were as follows:

Test Run Data

SCENARIO 1
Vehicles Available 14
No. of Jobs 57
No. of Packages 451
Max. Capacity per Vehicle 50
RESULTS
Performance Metric Competitor Product NextBillion.ai’s Route Optimization API
Vehicles Utilized 14 10
Total Distance Traveled (m) 252,654 125,484
Total Duration (hours) 13 6

 

SCENARIO 2
Vehicles Available 100
No. of Jobs 150
No. of Packages 428
Max. Capacity per Vehicle 3
RESULTS
Performance Metric Competitor Product NextBillion.ai’s Route Optimization API
Vehicles Utilized 77 77
Total Distance Traveled (m) 7,786,455 7,185,241
Total Duration (hours) 106 98

 

SCENARIO 3
Vehicles Available 100
No. of Jobs 200
No. of Packages 619
Max. Capacity per Vehicle 10
RESULTS
Performance Metric Competitor Product NextBillion.ai’s Route Optimization API
Vehicles Utilized 63 63
Total Distance Traveled (m) 9,415,064 6,567,350
Total Duration (hours) 142 91

Benchmarking Conclusion

As you can see, in each scenario, NextBillion.ai’s Route Optimization API outperforms the competitor in the crucial metrics of total route distance and duration — often by a large margin.

Behind NextBillion.ai’s Superior Performance

Such ineffective route optimization can have serious implications for organizations that use the competitor’s solution to optimize their business operations. Extra miles driven would negatively impact their operational efficiency, operating margins, eco-friendly initiatives, vehicle condition, customer satisfaction, driver sentiment and so much more. It’s a costly proposition in many ways — and that’s before even taking the cost of the solution itself into consideration!

 

Speaking of costs, that’s another area in which NextBillion.ai offers better value; ours is a more cost-effective solution by a healthy margin. Also, unlike other players in the market, we give customers the choice of asset-based or usage-based pricing, so they can pick the pricing model that best suits their business.

That’s not all, though. Arguably the biggest differentiator of NextBillion.ai’s routing solution is the level of flexibility made possible through the variety of routing constraints available. With over 50 constraints to choose from, our customers can configure the routing algorithm to account for their unique operational requirements, such as custom road restrictions and closures, turn permissions, speed limits, time-based restrictions, equal task distribution and more.

Some other features and constraints that set us apart from the competition include truck-specific routing that accounts for truck type, dimensions and weight; re-optimization for on-the-fly routing changes; custom cost matrices to keep travel costs in check and relations to specify associations between different tasks.

All of this means that NextBillion.ai is well positioned to meet complex customer needs in ways our competitors simply cannot. Here are a few case studies that show how we solve our customers’ problems with our Route Optimization API:

As we’ve seen, NextBillion.ai’s Route Optimization API brings a lot of value to the table. Value that cannot be found elsewhere. If you’re looking for a high-performance, cost-effective, customizable routing solution, your search ends here. Find out firsthand how NextBillion.ai can transform your business — see our Route Optimization API in action.

About Author

Ritu Josan

Ritu Josan is the Vice President of Marketing at Nextbillion.ai, a leading B2B SaaS platform that provides an all-in-one location solution for enterprises. At Nextbillion.ai, she spearheads the company’s marketing initiatives, aiming to position it as a leader in the location tech industry.

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