www.apzzo.com

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India’s #1 E-Commerce application

Client Name:

 Mitesh Jain

Industry:

 E-Commerce

Project Duration:

6 Months

Platforms developed :

app
web
Admin
Case Study 7 Go Deliverr2x

Overview

Go Deliverr is an innovative mobile app designed to revolutionize on-demand home delivery services. It allows users to order a wide range of products, including medicine, food, essential living items, and packages from nearby convenience stores with unparalleled efficiency. With a focus on reducing costs and saving time, Go Deliverr ensures safe and high-quality deliveries right to your doorstep. The app features a powerful AI and ML algorithm for optimized routing and management, supporting both local and global delivery needs. It offers non-contact delivery options and rewards for users, while also providing opportunities for delivery partners to work flexibly.

Case study 7 GoDeliverr min

Goals

Streamline on-demand delivery services for various categories.

Provide a cost-effective and efficient delivery solution.

Implement AI and ML algorithms for optimized order routing.

Ensure high safety and quality standards in deliveries.

Expand delivery reach to both major cities and remote villages.

Offer non-contact delivery options for user safety.

Enhance user experience with a rewards program.

Facilitate flexible work opportunities for delivery partners.

Support a wide range of product categories.

Achieve high user engagement and satisfaction.

Challenges

The Go Deliverr project faced several challenges, including integrating AI and Machine Learning algorithms for optimal route management and ensuring timely deliveries across diverse locations. Balancing cost-efficiency with high-quality service was complex, particularly with a global reach extending from major cities to remote areas. Additionally, maintaining user safety with non-contact delivery options and managing a flexible delivery partner system presented logistical difficulties. Addressing these issues required careful planning and innovative solutions to meet varying user and partner needs while maintaining service excellence.

Solutions

To overcome these challenges, we implemented advanced AI and Machine Learning algorithms to optimize delivery routes and manage order volumes efficiently. We developed a flexible, global delivery network to cater to both urban and rural areas, ensuring timely and cost-effective service. Non-contact delivery options were integrated to enhance safety. The delivery partner app was designed to provide flexibility and real-time tracking, allowing partners to manage their workload effectively. These solutions enabled us to balance cost, quality, and user safety, ensuring a seamless experience for all stakeholders.

Features

1

On-Demand Delivery: 

Order items from local convenience stores and have them delivered to your doorstep quickly.

2

Wide Range of Categories: 

Access thousands of products including medicine, groceries, electronics, and more.

3

AI-Driven Routing: 

Optimize delivery routes with advanced AI and ML algorithms for efficiency.

4

Non-Contact Delivery: 

Choose non-contact delivery instructions for added safety during the pandemic.

5

Real-Time Tracking:

Track your delivery in real-time from anywhere in the world.

6

Flexible Delivery Partner App: 

Allows delivery partners to manage orders, communicate with customers, and balance their workload.

7

Instant Feedback: 

Share your delivery experience to help improve service and inform other users.

8

Rewards Program: 

Earn points and redeem them for rewards, discounts, and promos.

9

Global Reach: 

Deliver to major cities and remote villages worldwide.

10

Reliable Package Delivery: 

Get your items delivered safely with pre-verified truckers and background checks.

Technologies Used

Design

image 81

Figma

Capa 1 2

Invision

Capa 1 1

Adobe Photoshop

Capa 1

Adobe Illustrator

Capa 1 3

Adobe After Effects

Mobile App Development

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Kotlin

Layer 2

Swift UI

Backend Development

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Node js

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Postgre DB

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TypeScript

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Firebase

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Twilio

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SendGrid

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AWS

Development Process

Planning and Research

First we sign the NDA with the client and after that we start gathering the relevant information for the app.

Duration

1 month

Design and Prototyping

First we sign the NDA with the client and after that we start gathering the relevant information for the app.

Duration

1 month

Development

First we sign the NDA with the client and after that we start gathering the relevant information for the app.

Duration

1 month

Testing and QA

First we sign the NDA with the client and after that we start gathering the relevant information for the app.

Duration

1 month

Launch and Marketing

First we sign the NDA with the client and after that we start gathering the relevant information for the app.

Duration

1 month

Post-Launch Support

First we sign the NDA with the client and after that we start gathering the relevant information for the app.

Duration

1 month

Team Involvement

Final Product

Success Metrics

60,000

messages per day

98%

bug resolution rate

12,000

active users

4.8

average rating

Cleint Feedback

Working with Go Deliverr has been a game-changer for us. The app’s efficiency in handling a wide range of deliveries, from groceries to packages, has exceeded our expectations. The integration of AI for route optimization and the non-contact delivery option have greatly enhanced our service. We appreciate the team’s commitment to innovation and customer satisfaction. The positive feedback from our users and the high engagement rates reflect the app’s success. We look forward to continuing our partnership and expanding its capabilities.

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Andrew Parker

Owner – Brainworks

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