I’m Ujjawal. I ran operations for an FMCG distributor serving 850+ outlets and cut order-to-delivery from 4–5 days to the same day. At Accenture, I built a workflow proof of concept that the client approved for implementation. Now: MS Supply Chain Analytics at Rutgers and an MBA at XLRI, graduating 2027.
4–5 days → same dayorder-to-delivery at the distributor I ran
~70%revenue growth, INR 101M to 171M, 2016–2025
50+ SOPsturned into one workflow platform at Accenture
850+ outletsand 650+ SKUs planned across seasonal peaks
The fix, in one picture
Delivery was slow because one step was narrow.
Before: billing and dispatch held every order. 4–5 days.After: orders booked on an app, billing handed to Marg ERP, dispatch by route. Same day.
OrderBilling & dispatchDeliveryOutlet
01 · How I work
The same four moves, whatever the problem.
Whether it’s a delivery van, a case queue or a market-entry plan, I work the same way.
1
Go where the work happens
Visit the accounts, sit with the teams, map the real process, not the one in the manual.
2
Find the constraint
One bottleneck usually sets the pace. At Ajanta it was billing and delivery capacity.
3
Build the fix
Change the process, then build the tool that makes it stick, from an ordering app to a workflow platform.
4
Prove the result
Measure what changed and say what the evidence does and doesn’t show.
02 · Work
Two places I changed how the work runs.
Problem, what I did, the outcome, and the impact it had, in that order.
Ajanta Traders · 2016–2025
Same-day delivery for a distributor of five national brands
Problem
Orders came in on paper and by phone, were re-typed for billing and dispatched days later. Delivery took 4–5 days.
What I did
Visited accounts and segmented 850+ outlets, planned stock for 650+ SKUs, then built a salesperson ordering app and office dashboard, with billing in Marg ERP and dispatch by route on our own fleet.
Outcome
4–5 days → same day from order to delivery, and 200+ new accounts.Day 1Same dayDay 2Day 3Day 4Day 5
Impact
~70% revenue growthINR 101M to 171M, through a combination of operating and commercial changes.
One tracked workflow instead of email and 10+ Excel trackers
Problem
Requests for a U.S. financial-services client crossed up to six teams by email and spreadsheets, with no owner, no audit trail and SLA breaches found too late.
What I did
Mapped six teams’ workflows, translated 50+ SOPs into requirements, and designed and built FlowOps solo in about two months using AI tools.
Outcome
7 teams, 11 request types on one intake, rule-based routing, SLA clocks and an explainable breach-risk score.
Impact
Client approved the POC for implementation by its IT team.
Built for a client engagement, so the walkthrough is available on request.
03 · Things I build
Working tools, built with AI.
I design these around a real problem and build them with AI tools. Each one says plainly how far it has got.
Client-approved POC
FlowOps
Workflow, SLA and risk platform with intake, routing, a breach-risk model and an AI assistant that a person must confirm.
A perfect prediction is worthless if nobody acts on it.
How I think about AI in supply chain. The model is rarely the problem; the handoff to the person who must act is. That is why FlowOps showed the reason behind every risk flag and let a person confirm every AI suggestion.
3
The business
Fewer stockouts, orders delivered in full, less cash stuck in stock.
only moves when decisions change
2
The people
How many warnings were acted on, how fast, and which overrides were right.
only moves when people trust and use it
1
The AI
How often the prediction is wrong, and whether it guesses too high or too low.
3 in 4
system forecasts were adjusted by planners in a study of four supply chain companies. A person still makes the call.
Fildes, Goodwin, Lawrence & Nikolopoulos, International Journal of Forecasting, 2009
Trust is fragile
People abandon an algorithm after seeing it err, even when it beats humans. So design for checking, not blind trust.
Dietvorst, Simmons & Massey, Journal of Experimental Psychology: General, 2015
05 · Strategy & research
Questions I’ve worked through with data.
ICICI Bank · 46th MAXI Fair · 2026
What drives a credit-card choice?
A 4-stage experiment with 278 participants and 5,000+ data points found 3 behavioural segments.
3rd of 46 teams
Tata Steel · live project · 2025
Where should green rebar launch first?
Led a team of six to segment 4 buyer groups and design a 3-phase market entry.
Team lead
HEALIX Ops Vision · 2025
How could screening reach the last mile?
Smart-ASHA, an offline AI screening concept for rural health workers, with a modelled ~50,000-unit market.
National finalist
PwC AC India · 2026
How should utilities manage SAP and vendor risk?
A whitepaper proposing risk scoring and an 18-month roadmap, with two PwC mentors.
Ran operations for an FMCG distributor of Amul, Godrej, Hershey’s, Hindalco and Dey’s Medical in Kashipur, India.
2025–2027
XLRI Jamshedpur · MBA (PGDM)
India’s oldest business school, ranked 33rd worldwide in the Financial Times Masters in Management 2026.
Apr–Jun 2026
Accenture · Business Transformation Specialist (Intern)
Designed and built FlowOps, a workflow and SLA platform for a U.S. financial-services client.
2026
Two teaching cases published
IIM Ahmedabad Case Centre and IIM Udaipur through Harvard Business Publishing.
2026–2027
Rutgers Business School · MS, Supply Chain Analytics
STEM-designated, graduating 2027.
07 · Education & toolkit
What I bring to the table.
Rutgers Business SchoolMS, Supply Chain Analytics · STEM-designated · 2026–2027
XLRI JamshedpurMBA (PGDM) · 2025–2027
PDPM IIITDM JabalpurB.Tech, Electronics & Communication Engineering · 2012–2016
CertificationsLean Six Sigma Green Belt and Data Insights Program (Power BI, Python), Grant Thornton Bharat, 2025 · Programming for Everybody (Python), University of Michigan via Coursera, 2026
Operations & supply chain
Demand forecasting, inventory planning, distribution, cold chain, process mapping, Theory of Constraints, KPI design
Building tools
Stakeholder discovery, requirements, workflow design, prototyping with AI tools, human-in-the-loop AI design
Strategy & research
Experiment design, segmentation, market sizing, go-to-market planning, case writing
Tools
Excel, Power BI, Tableau, Minitab, Marg ERP; Python and SQL (foundational)
08 · Beyond the work
A few more things about me.
VolunteerPart of the volunteer team at the 8th Digital Supply Chain Summit, Rutgers, 2026
LanguagesEnglish and Hindi
FromKashipur, Uttarakhand, by way of Jabalpur and Jamshedpur, now in New Jersey
09 · Say hello
Let’s talk about the work.
Supply chain, operations and analytics roles, and product roles in supply chain software. Full-time from 2027 in the US or Canada. If you’re working on a problem where people, process and data meet, I’d like to hear about it.
