E2E Advisor | Supply Chain & Procurement Consulting, Built on the E2E Design Method

Graded Proof, Not Consulting Math

Most firms inflate savings. We grade ours before you can challenge them.

Every number below carries a grade from our five-stage savings governance standard: Identified, Projected, Implemented, Realized, Finance-Validated. Inflated claims don't survive it. Results delivered inside a PE-backed healthcare logistics operation and across two decades of global supply chain work.

Realized $5M+ Inventory reduction Days of inventory 98 → 94 while service levels held. Delivered with Operations and Finance, not against them.

Realized 36% Weekly PO spend cut A weekly PO governance review that aligns every order with real demand instead of habit.

Realized 42% Travel rates reduced Rebuilt as behavior, volume, and program design. Not a rate-card discount squeeze.

In Production 7 AI tools shipped Governed, evidence-backed procurement tools in daily use. One runs live below on synthetic data.

Why grading matters to you: when we work together, your savings pipeline uses the same standard. Your CFO sees Identified vs. Realized separately, so the numbers you report up are numbers that survive finance review.

Start Here

One hour. Your data. A leak map you keep.

The Procurement Control Hour

A first-session diagnostic, not a sales call.

"In 60 minutes, we show you where procurement is actually leaking money. Not where your reports say it might be."

Bring your spend, PO, inventory, and supplier signals. We work through them together, identify 3 to 5 real leak points, and classify each one: realized savings, at-risk value, or structural opportunity. No boiling the ocean. Priorities first, then quick wins that prove the method both ways.

Supply chain problem instead of a procurement one? Same hour, same discipline: we map your flow from supply party to demand party and name the disconnects that are costing you.

Book Your Hour

You leave with

A one-page executive summary of where money is leaking

A savings pipeline split into validated vs. projected

An operational breakdown of what's actually breaking

A prioritized 30-to-90-day execution backlog

The E2E Design Method

Ambiguity in. A gated, working solution out.

Born in supply chain design: network mapping, as-is to to-be, physical flows to operating model. A documented framework with named phases, gate checks, and templates behind every step, battle-tested across 70+ strategic whiteboard sessions with global clients. AI runs through the whole method as an analytical partner, not a bolt-on. Tap a phase to see how.

01 Discover & Prioritize Gate: agreed priorities

Discovery calls map your strategy and surface the supply chains and processes that need work. Within the first hour we name your top topics and top priorities. Then we pick a narrow, high-value slice. Quick wins prove the method and the collaboration in both directions before anyone commits to a big program.

Where AI works here

AI synthesizes your spend, PO, and inventory signals across sources, surfacing patterns no single report shows.

02 Map the As-Is Gate: validated current state

We break the supply chain down with our templates: physical flows, process, lead time, total cost, and organization. Supply party to demand party, decoupling points named, disconnects documented. Everyone sees the same picture of how work actually moves, including the handoffs where value dies.

Where AI works here

AI speeds the analysis and pressure-tests it, catching the places where the data and the story don't match.

03 Design the To-Be Gate: business case approved

Design-thinking workshops with your stakeholders build the future state and the business case together. The value proposition has to answer three questions or it doesn't pass the gate: why change, why now, and why this solution. Solution and business case travel as one document.

Where AI works here

AI generates and stress-tests scenarios beyond what a room produces, so the workshop starts from pressure-tested options instead of a blank whiteboard.

04 Build & Deploy Gate: live in daily use

Where the design calls for it, we build: process automation, integrations, data flows, or a purpose-built AI tool for a broken or manual-heavy process. Project management backing carries it from pilot to daily use. Governance and acceptable-use policy come first when AI touches sensitive data. We've written both for a HIPAA-regulated operation.

Where AI works here

Sometimes AI isn't needed, and we'll say so. When it is, every tool we ship shows its evidence, grades its own confidence, and admits what the data can't support.

05 Sustain & Hand Over Gate: your team runs it

Systems that outlast their builder. That's the test. Your team gets the templates, the training, and the savings governance standard so improvements keep compounding after we leave. Every claim in your pipeline stays graded, so what you report up survives finance review.

Where AI works here

Hands-on AI training for your team, structured levels from first prompt to building their own governed workflows.

Built, Shipped, In Production

Most consultants leave a deck. We leave working tools.

These run daily inside a real procurement operation. Screenshots and demos use synthetic data; the production tools run on governed company data that stays private. That discipline is part of the point.

Flagship · Try It Live

SPOT: a procurement agent that answers in evidence

An ERP-overlay agent that turns eight operational reports into decisions. Ask it anything in plain English, or let it set the agenda with five risk-ranked worklists: shortages, past-due POs, buy recommendations, slow movers, supplier concentration. Every answer comes back in four layers: the answer, the evidence, a recommended action, and a confidence rating. A routine customer-inquiry loop that took a specialist thread of 8 emails and 83 minutes now takes about 3.

Open the Live Demo →

Runs entirely on synthetic data. No company information.

~80 minutes of latency → ~3 minutes

8 ERP reports, one plain-English question

Every answer: evidence + confidence + data gaps disclosed

Supply Risk

Raw-Material Risk Tool

One question, answered in 5 minutes instead of hours: will this item stop a build? Replaced a manual cross-reference of six ERP reports and fixed the deeper problem, allocation logic that made healthy items look out of stock.

1-4 hours of lookups → 5 minutes, auditable

Forecasting

Raw Material Forecasting

Demand-driven forecasting with BOM and reorder-point analysis. This is the analytical engine behind the $5M+ inventory reduction that held service levels steady.

The engine behind $5M+ Realized

Revenue Side

RFx Response Accelerator

Every answered RFI and RFP question becomes an asset that answers the next one. Drafts come from approved prior answers, never invented, so teams edit instead of starting blank and stop contradicting themselves across bids.

RFx turnaround as a revenue lever

Who You Get

Hire the operator who builds the tools he runs.

Anthropic AI Fluency Google Generative AI Six Sigma Green Belt Gartner SC Symposium Speaker

Arun Raghubir

Founder & Principal Advisor

Twenty years across both sides of global supply chains, customer and supplier, through DHL, Kuehne+Nagel, and executive procurement leadership at a PE-backed healthcare logistics company. Strategic sourcing, 3PL/4PL governance, network design, GDP cold-chain stand-ups, and COVID vaccine distribution programs across multiple countries.

The foundation is operational, not theoretical. The hard part of an AI tool isn't the model. It's knowing the workflow well enough to build something real. That's the same discipline as two decades of supply chain design: mapping how work actually moves, where departments hand off, where data and decisions connect.

Delivery is a team. A senior consulting partner folds in on enterprise engagements, so "we" means we.

Where we fit best

Companies from $100M to $1.5B in revenue with a heavy operational footprint: diagnostics and lab supply chains, healthcare logistics, regulated manufacturing, and kitting or distribution-heavy operations. Below that band, procurement is usually too informal for the method. Above it, the enterprise layers slow everything we're good at.

Your reports say the supply chain is fine.
The leaks say otherwise.

Most firms inflate savings. We grade ours before you can challenge them.

One hour. Your data. A leak map you keep.

A first-session diagnostic, not a sales call.

You leave with

Ambiguity in. A gated, working solution out.

Where AI works here

Where AI works here

Where AI works here

Where AI works here

Where AI works here

Most consultants leave a deck. We leave working tools.

SPOT: a procurement agent that answers in evidence

Raw-Material Risk Tool

Raw Material Forecasting

RFx Response Accelerator

Hire the operator who builds the tools he runs.

Arun Raghubir

Where we fit best

Two more doors, different sizes.

Learning AI

Small Business Launchpad

Book the Control Hour.