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Reimagining how enterprises find and trust vendors

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Overview

Procurement managers across most of industries share a frustratingly common reality: they manage multi-lakh vendor decisions using Excel sheets, email threads, and phone calls. There is no system. There is no data. There is no institutional memory.

My Role

UX Designer (Solo)

Timeline

6 Weeks

Platform

Web SaaS · B2B Enterprise

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Problem

The procurement process is broken — and everyone's working around it.

Procurement managers across industries — IT, manufacturing, steel, aviation, healthcare — share a frustratingly common reality: they manage multi-lakh vendor decisions using Excel sheets, email threads, and phone calls. There is no system. There is no data. There is no institutional memory.

Solution

Solution

I followed a rigorous non-linear design thinking process

Committing to not touch any visual design until the problem was clearly defined and the opportunity clearly framed.

1
Discover

Understand the problem space

5 in-depth user interviews across steel, aviation, and IT industries. Mapped both buyer and vendor-side workflows. Identified domain-specific differences in how procurement operates across verticals.

User Interviews ×5Workflow Maps ×2Industry Case Studies ×2
2
Define

Synthesise and frame the problem

Built an affinity map clustering 30+ observations into themes. Developed 3 evidence-based personas. Ran SWOT analyses on SAP Ariba and Jaggaer. Defined a precise problem statement from synthesised findings.

Affinity Map3 PersonasCompetitive SWOT ×2
3
Ideate

Frame opportunities and design directions

Mapped Arjun's current-state journey across 9 stages with emotion layers. Derived 18 HMW statements tied directly to pain points. Defined 6 core design directions with clear feature linkages.

Journey Map (9 stages)18 HMW Statements6 Design Directions
4
Design

Structure and build the solution

Full information architecture (9 modules, 40+ sub-pages). Detailed end-to-end user flow for Arjun's core journey. 8 production-ready hi-fi screens in IBM Carbon Design System.

Information ArchitectureUser FlowHi-fi UI · 8 Screens

User Research

Five real people, three industries, one shared frustration

I recruited procurement professionals across verticals to understand not just what they do, but why they do it that way — and where the system is working against them.

Who are they?

What roles do procurement managers hold, how many vendors do they manage, and what does their daily workflow look like?

How do they work today?

What tools do they rely on? How do they discover vendors, evaluate proposals, and get sign-off from finance and leadership?

Where does it break down?

What causes delays, what information is missing, and where do they feel the most friction, risk, and loss of control?

Consolidated pain points

Analysing all five interviews against both buyer and vendor perspectives revealed eight cross-cutting pain themes that appeared in every conversation, regardless of industry.

Everything is manual

Requirements, outreach, proposals, comparison — all done in separate tools with no connection between them.

Vendor discovery is ad hoc

All users found vendors via Google or word-of-mouth. No structured, reliable source of pre-vetted vendor intelligence.

No institutional memory

After each order completes, vendor performance is never recorded. Every new cycle starts from zero.

Approval black holes

Getting finance and leadership sign-off through email chains with no visibility into status, causing multi-day delays.

Risk is invisible

No structured way to assess vendor compliance, certification status, or financial risk before shortlisting.

No delivery tracking

Monitoring order status requires daily phone calls to vendors. No system alerts, no milestone visibility.

Bill and payment chaos

Physical bill handoffs to finance teams disconnect billing data from procurement data entirely.

Synthesis

From observations to a clearly framed opportunity

Research only becomes useful when it's synthesised into decisions. I used three methods — affinity mapping, persona development, and competitive analysis — to turn raw observations into actionable design principles.

User personas

Three personas, grounded entirely in interview data, not assumptions. Each represents a different usage context and risk profile — ensuring the design doesn't over-index on a single archetype.

IT Procurement Manager

Goals

  • Find the right vendor fast — without back-and-forth emails
  • Compare proposals side-by-side with consistent, data-backed criteria
  • Get team sign-off faster through shared visibility
  • Track all active orders without daily follow-up calls

Pain points

  • Everything lives in Excel and email — nothing is connected
  • No performance history; every cycle starts from zero
  • Approval delays add days to every decision cycle
  • No early warning when a delivery is at risk

Sr. Procurement Officer

Goals

  • Ensure every vendor meets certification and compliance standards
  • Maintain full audit trail for all vendor decisions
  • Tools simple enough that her whole team actually uses them

Pain points

  • SAP Ariba is too complex — half her team avoids it
  • Manual certification verification is slow and error-prone
  • No early-warning when a compliance issue is building
  • ERP integration is broken; data lives in disconnected silos

Operations Head · Manufacturing

Goals

  • Get the best market price without spending hours negotiating
  • Quick reorder from trusted vendors — no full cycle restart
  • Track delivery without making daily phone calls to vendors

Pain points

  • PLB rate complexity changes constantly; impossible to track manually
  • No performance trend data to back up large-order decisions
  • Owner sign-off adds days to every major purchase decision

Competitive landscape

SWOT analyses on SAP Ariba and Jaggaer revealed where the market had gaps and where ProcuraEdge could build a meaningful differentiated position.

1

Vendor Discovery

How might we help procurement managers discover pre-vetted vendors without starting from a blank Google search?

AI Vendor Recommendation Engine

2

RFQ Outreach

How might we replace 10 separate copy-pasted emails with a single action that still reaches every vendor effectively?

Centralised RFQ System

3

Evaluation

How might we make vendor comparison feel like a confident, data-backed decision rather than a gut feeling?

Comparison Dashboard + Risk Indicators

4

Approval

How might we make approval workflows transparent and accountable — without adding bureaucratic overhead?

Collaboration Hub + Approval Workflow

5

Delivery

How might we give procurement managers live delivery visibility without requiring daily phone calls to vendors?

Delivery Tracking Dashboard + Alerts

5

Post-order

How might we ensure every completed order makes the next procurement cycle meaningfully smarter?

Vendor Performance History + Quick Reorder

Information architecture

The IA reflects the mental model of a procurement manager, not a product manager. Modules are ordered by the natural cadence of procurement work — discover → source → evaluate → approve → execute → learn — so the navigation feels intuitive from day one.

Authentication

Login

Register Organisation

Forgot Password

Dashboard

Active RFQ summary

Pending approvals

AI insights feed

Delivery alerts

Vendor Discovery

AI recommendations

Search & filter

Vendor profile view

Save to shortlist

RFQ Management

Create new RFQ

Bulk send to vendors

Proposal inbox

Status tracker

Comparison

Side-by-side table

Risk indicators

Scoring weights

Shortlist finaliser

Collaboration Hub

Share evaluation

Comment thread

Approval workflow

Approval status

Contracts

Draft contract

Digital signature

Payment schedule

Contract repository

Order Tracking

Live delivery status

Milestone alerts

Issue raising

Delivery confirmation

Performance

Performance scorecard

Trend graphs

Reviews & ratings

Quick Reorder

Settings

Team & roles

Notifications

ERP integration

Audit logs

Final UI screens

8 production-ready screens built in IBM Carbon Design System (G100 dark theme). Every screen maps directly to a journey stage and a HMW brief.

Dashboard

Dashboard

Vendor Discovery

Vendor Discovery

RFQ Management

RFQ Management

Comparison Dashboard

Comparison Dashboard

Reflection

Recommended next steps

This case study covers Discovery through Hi-fi Design. The following work remains to bring the product to a validated, shippable state.

HIGH PRIORITY

Moderated Usability Testing

5–8 sessions with procurement managers on the hi-fi prototype. Measure task completion for vendor discovery, RFQ creation, and approval workflows.

HIGH PRIORITY

Accessibility Audit (WCAG 2.1 AA)

Dedicated audit of contrast ratios in the G100 dark theme, focus state visibility, and screen-reader compatibility before any engineering handoff.

MEDIUM PRIORITY

Vendor-Side Interface

The current design covers the buyer's view fully. Vendors receiving RFQs and submitting proposals need a separate, simplified interface.

MEDIUM PRIORITY

Mobile Responsive Flows

Key use cases — approval nudging, delivery alerts, and Quick Reorder — would benefit significantly from a mobile-optimised view for on-the-go managers.

MEDIUM PRIORITY

Dev Handoff Documentation

Component specifications including all Carbon token overrides, interaction states, error handling patterns, and edge case behaviours.

FUTURE CONSIDERATION

ERP Integration Design

Multiple users mentioned disconnected billing systems (Tally, SAP). Designing the integration surface — import/export flows, sync indicators — would complete the full operational loop.

What this project taught me

The biggest UX risk with AI-powered products is that users don't understand why the system is making a recommendation — and therefore don't trust it. Building explainability directly into the UI (scoring weight breakdown, AI reason chip on every vendor card) was the core answer to the product's central design challenge. Trust is earned through visibility, not just accuracy.