Nextbillion.ai Case Studies Enhancing Delivery Efficiency with Custom Mapping Solution: A Case Study on a Top US-Based Food Delivery Company

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	Enhancing Delivery Efficiency with Custom Mapping Solution: A Case Study on a Top US-Based Food Delivery Company Nextbillion.ai

Enhancing Delivery Efficiency with Custom Mapping Solution: A Case Study on a Top US-Based Food Delivery Company

Nextbillion.ai

Technology Category	Analytics & Modeling - Machine Learning Networks & Connectivity - Gateways
Applicable Industries	Food & Beverage Transportation
Applicable Functions	Logistics & Transportation
Use Cases	Building Automation & Control Last Mile Delivery
Services	System Integration
Challenge	The leading food delivery company in the US was facing challenges in keeping up with the growing demand and customer expectations. The company was striving to meet its ambitious growth goals without compromising on the quality of service. The existing mapping solutions were rigid and did not cater to the company's specific needs. The company required a more tailored mapping solution that would help them achieve more efficient and on-time deliveries, provide more accurate Estimated Time of Arrivals (ETAs), and reduce costs on Maps APIs. Read More
About Customer	The customer is a leading food delivery company based in the United States. As the food delivery vertical continues to grow, the company is striving to meet the increasing demand and high customer expectations. The company has ambitious growth goals and is committed to providing quality service. However, the company was facing challenges with its existing mapping solutions, which were rigid and not tailored to its specific needs. The company needed a more efficient mapping solution to ensure on-time deliveries, provide accurate ETAs, and reduce costs on Maps APIs. Read More
Solution	NextBillion.ai proposed a two-pronged approach to address the company's challenges. Firstly, they emphasized the importance of building and owning a mapping platform for driving business outcomes and competitive differentiation. Secondly, they identified key elements such as custom maps, proprietary first-party data, real-time data, delivery area, and hyperlocal nuances that would be crucial in building an effective custom solution to optimize delivery times. Based on these evaluations, NextBillion.ai developed an exclusive modular mapping stack powered by advanced machine learning algorithms. The solution included custom maps that could be refreshed, edited, and updated, customized and scalable ETA and Routing APIs, and a completely on-premise and cloud-agnostic deployment. This solution was designed to provide reliable ETAs, hassle-free routing, and cost efficiency. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Networks & Connectivity - Gateways

Applicable Industries

Food & Beverage

Transportation

Applicable Functions

Logistics & Transportation

Use Cases

Building Automation & Control

Last Mile Delivery

Services

System Integration

Challenge

The leading food delivery company in the US was facing challenges in keeping up with the growing demand and customer expectations. The company was striving to meet its ambitious growth goals without compromising on the quality of service. The existing mapping solutions were rigid and did not cater to the company's specific needs. The company required a more tailored mapping solution that would help them achieve more efficient and on-time deliveries, provide more accurate Estimated Time of Arrivals (ETAs), and reduce costs on Maps APIs.

About Customer

The customer is a leading food delivery company based in the United States. As the food delivery vertical continues to grow, the company is striving to meet the increasing demand and high customer expectations. The company has ambitious growth goals and is committed to providing quality service. However, the company was facing challenges with its existing mapping solutions, which were rigid and not tailored to its specific needs. The company needed a more efficient mapping solution to ensure on-time deliveries, provide accurate ETAs, and reduce costs on Maps APIs.

Solution

NextBillion.ai proposed a two-pronged approach to address the company's challenges. Firstly, they emphasized the importance of building and owning a mapping platform for driving business outcomes and competitive differentiation. Secondly, they identified key elements such as custom maps, proprietary first-party data, real-time data, delivery area, and hyperlocal nuances that would be crucial in building an effective custom solution to optimize delivery times. Based on these evaluations, NextBillion.ai developed an exclusive modular mapping stack powered by advanced machine learning algorithms. The solution included custom maps that could be refreshed, edited, and updated, customized and scalable ETA and Routing APIs, and a completely on-premise and cloud-agnostic deployment. This solution was designed to provide reliable ETAs, hassle-free routing, and cost efficiency.

Impact #1	The custom mapping solution developed by NextBillion.ai enabled the food delivery company to gain complete control over their mapping stack. The solution was seamlessly packaged with custom map data and API, and was scaled for Los Angeles in a very short time frame. The on-premise deployment allowed the company to benefit from higher throughput and unlimited API calls, resulting in significant cost savings. The company was able to deliver a superior customer experience at a significantly lower cost compared to their existing map stack. This has allowed the company to focus on its core mission of offering the best-in-class delivery experience to its customers, without being constrained by the map stack.

Impact #1

The custom mapping solution developed by NextBillion.ai enabled the food delivery company to gain complete control over their mapping stack. The solution was seamlessly packaged with custom map data and API, and was scaled for Los Angeles in a very short time frame. The on-premise deployment allowed the company to benefit from higher throughput and unlimited API calls, resulting in significant cost savings. The company was able to deliver a superior customer experience at a significantly lower cost compared to their existing map stack. This has allowed the company to focus on its core mission of offering the best-in-class delivery experience to its customers, without being constrained by the map stack.

Benefit #1	Achieved reliable and accurate Estimated Time of Arrivals (ETAs)
Benefit #2	Significant cost savings with unlimited API calls
Benefit #3	40% cost savings from higher throughput and unlimited API calls

Benefit #1

Achieved reliable and accurate Estimated Time of Arrivals (ETAs)

Benefit #2

Significant cost savings with unlimited API calls

Benefit #3

40% cost savings from higher throughput and unlimited API calls

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Overview

Enhancing Delivery Efficiency with Custom Mapping Solution: A Case Study on a Top US-Based Food Delivery Company

Operational Impact

Quantitative Benefit