Ramesh Yadav
Warehouse Supervisor || Requester 01
“I spot low stock in a sheet and send the request on WhatsApp. I never know if anyone has seen it.”
PAIN POINTS
Manual stock checks, no request status, repeated follow-up calls.
Designed a centralized solution for creating and managing purchase indents, streamlining procurement for both requesters and approvers. Integrated inventory data with multiple modules to eliminate manual effort in selecting items and calculating required quantities.Provided end-to-end visibility into indent status for both requesters and approvers, eliminating the need for manual follow-ups and improving procurement efficiency.

OVERVIEW
Purchase Indent is a collection of purchase requests raised by multiple users for the items they require. These requests can be created for various purposes, such as supporting production, fulfilling sales orders, or maintaining sufficient stock levels.
PROBLEM STATEMENT
Employees raised material requirements through different channels, while purchase managers had to manually validate and consolidate them before processing orders.
Without a consistent way to capture request context, check requirements and track progress, teams relied on repeated coordination to move procurement forward.
Simplify and automate the procurement process from request to order while reducing manual effort and operational errors?
Give users end-to-end visibility of their procurement requests, from indent creation to order processing, without relying on offline tracking?
CORE USERS
Each team had a different way of raising purchase requests, depending on their day-to-day needs.
Ramesh Yadav
Warehouse Supervisor || Requester 01
“I spot low stock in a sheet and send the request on WhatsApp. I never know if anyone has seen it.”
PAIN POINTS
Manual stock checks, no request status, repeated follow-up calls.
Priya Sharma
Sales Coordinator || Requester 02
“For every sales order, I retype the item details into an email for the purchase team.”
PAIN POINTS
Retyping order details, requests not linked to the sales order, missed delivery dates.
Vikram Singh
Production Planner || Requester 03
“Before production starts, I have to work out how much material to order myself.”
PAIN POINTS
Manual quantity calculation, errors in required quantity, production waiting on material.
Anjali Mehta
Purchase Manager || Approver
“Half my day goes into collecting requests from email, WhatsApp and calls before I can place a single order.”
PAIN POINTS
Consolidating scattered requests, duplicate indents, confirming details with every requester.
RESEARCH & DISCOVERY
To understand the existing procurement workflow, I conducted 8 stakeholder interviews across key user groups — two participants from each group — to capture different perspectives within the same operational context.
2 Warehouse Staff
2 Sales Team
2 Production Teams
2 Purchase ManagersWhat we heard across all four groups.
No structured way to raise a request against a Sales Order, Production Order, or stock need — users retyped or forwarded order details by hand.
Users checked stock separately, then worked out the required quantity themselves — slow, and inconsistent in accuracy.
Email, WhatsApp, and verbal handoffs meant inconsistent formats, with item details buried inside forwarded messages.
Purchase managers collected and cross-checked requests from multiple channels before they could even start processing.
USER JOURNEY
A single request flow that branches on what triggered the need — faster, less error-prone, and easier to coordinate.
Final Deliverables
A standardised request experience with two paths: order-linked requests are auto-calculated against live stock, while manual ones surface stock inline so decisions stay informed. Purchase managers now work from a single queue instead of compiling requests from scattered channels — easier to adopt, and more accurate and efficient across departments.
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Manual Process
Users can raise a request manually when there's no source order — for falling stock, or any other need.
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Order Processing
A one-click flow to create and process a purchase order from requests raised by multiple users.
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Design Decision
Business Impact
75%
User adoption in 3 weeks
30%
Operations efficiency increased
100%
Request status visibility
Key Learning
Enterprise design is less about adding features and more about removing the manual thinking a system can safely do for the user — while leaving room for judgment where it's still needed.
Thanks for Reading
More Work