Aditya Birla Pivot / 2024

Aditya Birla Pivot Edge

An internal sales platform that generated ₹700+ crore in enquiries within one quarter of launch.

Aditya Birla Pivot Edge product interface

Client

Aditya Birla Pivot

Role

Lead Product Designer

Timeline

8 months · 2024

Platform

Web app · Internal tooling

01

Context

Aditya Birla Pivot’s sales teams were stitching pipeline data together across four systems and a forest of spreadsheets. Pivot Edge brought the full enquiry journey into one focused workspace—helping regional managers and category managers run internal sales operations with greater speed, clarity and ease.

The team was losing hours every day to data reconciliation instead of selling. Regional managers lacked a clear view of enquiry progress, while category managers had to reconstruct pricing and negotiation context across disconnected channels. The brief was to simplify this handoff and make every enquiry easier to create, assign and advance.

02

Research approach

Understanding the people and workflow behind the brief.

Methods

  • Contextual shadowing
  • Diary studies
  • Jobs-to-be-done interviews
  • Usability testing

Participants

7 sales reps · 3 regional managers · 2 ops leads

Duration

6 weeks discovery + weekly validation cycles

Research storyboard

A day on the floor

A day on the floor

Shadowed reps from first enquiry to end-of-day handover, timing every context switch.

What breaks trust

What breaks trust

Interviews surfaced the habit of re-checking CRM fields by hand before every call.

One deal state

One deal state

Mapped the deal lifecycle with engineering so screens and data told the same story.

Weekly think-alouds

Weekly think-alouds

Each module was tested live; anything that needed explaining got redesigned.

Illustrative scenes, not photographs from the original research.

Proposed follow-up survey

A framework for future validation, not reported survey findings: ask about workflow frequency, confidence in the information, the most difficult step, and what would make the task easier.

03

What emerged

Finding 01

Data trust is broken

Reps double-check every CRM field manually. If the workspace can't be trusted, it will be worked around.

Finding 02

Managers scan, reps focus

Two mental models in one product — glance vs deep-dive — needed distinct surfaces.

Finding 03

Next-best-action beats dashboards

Reps wanted a queue, not analytics. We turned insights into recommended moves.

04

Defining the problem

Problem statement

How might Aditya Birla Pivot help regional and category managers create, assign, and advance an enquiry without rebuilding its context across disconnected tools?

Working hypothesis

If we simplify the enquiry workflow from multiple steps to a streamlined flow, task completion time should decrease.

Design priorities

  1. Shadowed seven reps across three regions to map the real shape of a sales day.
  2. Co-designed a deal-state model with engineering so the UI mirrored a single source of truth.
  3. Built a token-driven component library that scaled to 40+ screens without redesign churn.
  4. Validated each module with weekly think-alouds — every flow earned its place.
05

From research to design

01 / Discover

Ride along with the RMs

Two weeks shadowing relationship managers across three regions, timing every switch between CRM, WhatsApp and spreadsheets.

Contextual inquiry · Day-in-the-life timelines · Tool-switch audit

02 / Define

Name the real bottleneck

Mapped the enquiry-to-order journey and found the delay wasn't decision-making — it was waiting on data that lived in someone else's inbox.

Journey map · Pain-point matrix · Problem statement

03 / Structure

One thread per enquiry

Modelled a single deal-state object with engineering so every screen reads the same truth, then wrote the IA around that thread.

State model · Information architecture · Content priority

04 / Ideate

Sketch the worklist

Low-fidelity flows for queue, share and error states — tested on paper with RMs before a single component was styled.

Crazy 8s · Flow diagrams · Paper prototypes

05 / Validate

Weekly think-alouds

Clickable prototypes tested every Friday; the share module alone went through four rounds before the margin field earned its place.

Usability testing · Task success metrics · Iteration log

Low-fidelity exploration · schematic reconstruction

Structure before visual design

These simplified layouts illustrate the information hierarchy and task sequence; they are not original research artifacts.

Status & owner
Priority enquiries
Next action
01 / Enquiry queue
Buyer & credit
Line items
Terms & review
02 / Create enquiry
Current state
Assignment reason
Response & history
03 / Manager handoff
06

Testing & evidence

Improve sales-team productivity by making enquiry creation faster, clearer and less error-prone.

Measures considered

Completion time · Task success · Steps · Errors · Adoption

MeasureBeforeAfter
Enquiry completion time12 min8 min
Steps74
Task success72%91%

I actively identify, document and validate assumptions to minimise bias. Decisions are based on observed evidence and measurable outcomes—not untested certainty.

07

Outcome

₹700+ CrEnquiries in first quarter
10×Pipeline velocity
11Hours reclaimed / rep / week
+38%Forecast accuracy

The redesign was validated through usability testing and stakeholder and user feedback. After launch, Aditya Birla Pivot recorded ₹700+ crore in enquiries in a single quarter, while the shared workflow made day-to-day sales operations easier for regional and category managers.

08

The final interface

A closer look at the product screens and the decisions they support.

01

The pipeline, at a glance.

Open and closed enquiries live in one list, each card carrying the buyer, the enquiry ID, the value and the outcome. Repeat business is the norm in steel, so cloning a won enquiry is a first-class action — not a copy-paste ritual across three tools.

Open / Closed split with status chips — Won, Lost, Won-Enrichment — read before any tap.
Open / Closed split with status chips — Won, Lost, Won-Enrichment — read before any tap.
Clone confirms in plain language, because a duplicated ₹80L enquiry is expensive to undo.
Clone confirms in plain language, because a duplicated ₹80L enquiry is expensive to undo.

02

Three steps to a live enquiry.

Creating an enquiry used to mean a spreadsheet, a credit check over the phone and a WhatsApp thread. The flow compresses it into three signposted steps — buyer, products, terms — with credit limit surfaced at every point where it changes a decision.

Step 1 — buyer, delivery city, ETA, and available credit shown inline, not buried in a CRM tab.
Step 1 — buyer, delivery city, ETA, and available credit shown inline, not buried in a CRM tab.
Step 2 — search by category, add by make, or let Pluto AI parse a pasted requirement into line items.
Step 2 — search by category, add by make, or let Pluto AI parse a pasted requirement into line items.
Line items stay editable as a set — brand, grade, diameter and quantity in one dense, scannable card.
Line items stay editable as a set — brand, grade, diameter and quantity in one dense, scannable card.
Step 3 — deal amount, credit vs advance, IDD/MDD, and the assigned CM all settled on one screen.
Step 3 — deal amount, credit vs advance, IDD/MDD, and the assigned CM all settled on one screen.

03

The handoff.

A regional manager cannot price alone. Assignment is modelled as an explicit, reversible handoff to a category manager—with the negotiating context attached—so both roles can move an Aditya Birla Pivot enquiry forward without rebuilding the story.

Assign to a CM with the reason attached — "buyer has not agreed with the prices" travels with the enquiry.
Assign to a CM with the reason attached — "buyer has not agreed with the prices" travels with the enquiry.

04

The queue.

Regional and category managers open to a shared worklist—every enquiry stamped with its stage, margin and current owner. This simplified Aditya Birla Pivot’s internal sales operation by making the next action visible without another spreadsheet, call or screen.

Draft Order — ₹5.7L, margin visible before a single tap in.
Draft Order — ₹5.7L, margin visible before a single tap in.
Share, raise a ticket, reject, or download — one tap away, never buried in a settings screen.
Share, raise a ticket, reject, or download — one tap away, never buried in a settings screen.
CM Responded — the RM sees exactly who touched it last, and when.
CM Responded — the RM sees exactly who touched it last, and when.

05

The exchange.

Buyer POs still travel as PDFs and WhatsApp messages. Instead of fighting that, Pivot Edge builds it in — export as PDF, image, or Excel, send it wherever the buyer actually reads it, and thread the back-and-forth alongside.

Format and channel picked in the same modal — PDF, Image, or Excel, over Mail or WhatsApp.
Format and channel picked in the same modal — PDF, Image, or Excel, over Mail or WhatsApp.
A remarks field carries delivery terms straight into the shared document — no separate email needed.
A remarks field carries delivery terms straight into the shared document — no separate email needed.
A quiet, specific confirmation — names the buyer, not just "success."
A quiet, specific confirmation — names the buyer, not just "success."

—

When the data isn't ready.

Missing contact details fail a share every time. Rather than a generic error, the module names the exact field and points back to the fix.

Invalid Email — names the field, points straight back to the buyer record.
Invalid Email — names the field, points straight back to the buyer record.
Same pattern for WhatsApp — one voice, one fix, across every failure state.
Same pattern for WhatsApp — one voice, one fix, across every failure state.
A running comment thread keeps the delivery-ETA back-and-forth attached to the enquiry, not lost in a chat app.
A running comment thread keeps the delivery-ETA back-and-forth attached to the enquiry, not lost in a chat app.
09

Project sources

Vijay.

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