Case Study

Getit icon

On-Demand Delivery App

Getit

Getit is an on-demand, on-the-go service providing a convenient way for you to get what you need.

IndustryOn-Demand Delivery
Team7 Members
Time6 Months
PlatformsWeb & Mobile
Getit app screen 1Getit app screen 2
Getit taxi banner
Getit website
Getit responsive
Overview

About Getit

A construction company reached out to us to build an application for an on-demand taxi service. The construction industry faced a lot of challenges with the immediate requirement of materials during the construction process that were not available at hand. We built a customized taxi system with separate applications for customers, vendors, and drivers.

Getit app screens overview
Getit taxi icon 1Getit taxi icon 2
Challenge at Beginning

Stakeholders Not Tech Savvy

Problem

The client was clear with their needs but was not tech savvy enough to state specific requirements, making it difficult to translate their vision into concrete deliverables.

Solution

  • We initiated brainstorming sessions with the client to plan out the project.
  • We discussed challenges of all stakeholders — vendors, drivers etc.
  • We helped narrow down their vision to tangible deliverables.
  • Based on the requirements, we planned out realistic milestones and a timeline.
Security challenge illustration
Challenge during Development

Managing All Stakeholders

Problem

In Getit the driver and vendor are treated as separate entities, unlike a regular taxi application where such a division does not exist. This required building separate application flows for each stakeholder type.

Solution

We built application functionality to optimize the process while simultaneously taking all stakeholders into account.

The customer (construction company) places the order directly to the vendor, and the vendor books the taxi.
Stakeholder roadmap
Road car icon
Challenge of Registration

Verifying Driver's Identity

Problem

We had a challenge to digitally verify the driver's identity before registration on the application, as manual checking would take a lot of time.

Solution

  • We developed a mechanism to cross-check and perform background verification of the driver's identity.
  • Our algorithm used the Social Security Number (SSN) of the driver to check for any sex offender record, criminal history etc.
Driver registration taxi flow
Challenge of Order Processing

Separate Location of Vendor's Office & Warehouse

Problem

Most of the time, the registered office location and warehouse location where the vendor stored goods were different, which caused delays — as the warehouse was mostly somewhere in the outskirts of town.

Solution

  • The default pickup location of the order was set to the vendor's warehouse.
  • An order was only assigned to a driver if he was within a 3-mile radius of the warehouse.
Order processing illustration
Order processing map
Logistics

Challenge of Logistics

Maximum Order Delivery in 1-Hour Span

Problem

Delivery is outsourced to taxi drivers at a minimum wage of USD 15/hr.

  • Needed a logistics facility only for a limited time to avoid extra cost.
  • Delivery persons often repeated routes while on the field, wasting time.
  • Mismanagement limited the capacity of orders that could be delivered.

Solution — Zone-based Routing

1

Divided the deliverable area into four equal zones — A, B, C, D.

2

Sorted the zip codes as per the divided zones.

3

Sorted orders in each zone in ascending order of radial distance from the store.

4

Assigned one delivery person for every zone.

Savings Per Order — Example

Before optimization2 orders/hr → USD 7.50/order
After optimization4 orders/hr → USD 3.75/order
Savings per orderUSD 3.75

Route optimization ensures delivery boys don't repeat routes.

Maximum orders delivered in minimum time.

Conclusion

The Result

We were able to develop a highly functional on-demand taxi service with customizations for the construction industry. We built applications with smooth operation for all three stakeholders — drivers, vendors, and customers (construction company). We solved the issues of distance between construction site and warehouse, payment challenges between three entities, and route optimization for drivers to save freight costs. Thus we were able to help the construction industry move leaps and bounds with their logistics and operations by leveraging technology.

Getit conclusion

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