Streamlining warehouses across India

Rethinking warehouse structures with Delhivery.

TLDR;

Godam, Delhivery's warehouse management system, had low adoption across 85+ fulfillment centers, workers had turned it into a passive record-keeping tool and built manual workarounds to get actual work done. As the lead designer, I drove a ground-up redesign starting with on-site research across warehouses in Bangalore, Chennai, and Haryana, mapping workflows and identifying three core blockers: low system adoption due to poor IA, lack of standardization across warehouses, and a PWA that failed in low-connectivity environments. The solution introduced role-based interfaces, an offline-first mobile experience with tap-friendly interactions, and modular redesigns that matched how work actually flows.

80%

improvement in
task execution workflow

2x

System adoption across
warehouse processes

TEAM

Nikhil R, Design Manager

Me, Product Designer

A team of 9 PM's, Designers and Engineers from Delhivery

MY ROLE

Individual Contributor, leading research and design for the V2 platform revamp

DURATION

13 months
(February 2022 - March 2023)

About DELHIVERY

Founded in 2011 and now India's largest fully-integrated logistics company, Delhivery moves millions of shipments daily across 85+ fulfillment centers, 29 automated sort centers, and over 18,700 pin codes. Since inception, they've shipped 2.8 billion parcels, serving everyone from e-commerce giants to FMCG enterprises.

The Problem

01
System abandoned in favor of workarounds

Workers across 85+ warehouses had stopped using Godam as an operational tool, relying on manual processes and notebooks instead, leading to errors and inefficiency.

02
No standardization across warehouses

Every location had developed its own habits, making training, scaling, and quality control inconsistent nationwide.

research and discovery

How might we turn the system into a workflow-first platform that scales across warehouses?

Warehouse visits

On-site research across Bangalore, Chennai & Haryana to see the work firsthand.

Worker interviews

Spoke with field executives to understand why they stopped using the system.

Workflow mapping

Mapped real workflows across roles to pinpoint exactly where the system broke down.

key challenges

๐Ÿšฉ
Low adoption of the system

workers preferred manual workarounds, leading to inefficiency and errors.

๐Ÿšฉ
Poor information architecture

caused delays in task completion and reduced productivity across shifts.

๐Ÿšฉ
Lack of standardization

inconsistent workflows across warehouses made scaling and training difficult.

Offline-first mobile experience

โš ๏ธ

PWA failed in low/no internet so workers used notebooks

๐Ÿ’ก

Built offline-first mobile app with tap-friendly fields

โœ…

Led to faster workflows, fewer errors, higher adoption

Improving the existing web experience

โš ๏ธ

Dedicated app required longer build cycle.

๐Ÿ’ก

Added stop-gap improvements: streamlined flows & better tap targets

โœ…

Led to slight usability boost, operations kept moving

Role-based admin redesign

โš ๏ธ

Managers & on-ground workers shared interface

๐Ÿ’ก

Redesigned with role-based modules, clear sections

โœ…

Led to better oversight for execs, simpler workflows for workers, higher efficiency

Reflections & Learnings

โœ๏ธ
Designing for Scale

Massive inventories and time-sensitive deliveries meant even the smallest UI or workflow optimizations had measurable impact.

โœ๏ธ
Balancing flexibility & guardrails

We had to support messy, real-world scenarios without overcomplicating the system. We had to balance safety & speed.

โœ๏ธ
Cross-Functional Collaboration

Working with PMs, devs, and warehouse teams ensured solutions were grounded prioritizing practical solutions over ideal ones.

Let's build better experiences.

If you've read this far, we should probably talk :D

Let's build better experiences.

If you've read this far, we should probably talk :D