About StackOrigin

Built for the Complexity
of Supply Chains at Global Scale.

Most supply chain software was designed for a simpler world—fixed suppliers, predictable demand, linear logistics. StackOrigin was designed for the world as it is: volatile, global, data-dense, and demanding of real-time intelligence at every node.

We started with a research team spanning global top-tier institutions, a handful of Fortune 100 design partners, and one conviction: that AI applied to supply chain orchestration could unlock a category of value no ERP or point solution had ever reached.

Book a Demo Explore the Platform

Our Mission

Make enterprise supply chains as adaptive as the markets they serve

We believe that the gap between supply chain data and supply chain decision-making is where billions of dollars are lost every year. StackOrigin closes that gap—with autonomous intelligence that senses disruption, simulates outcomes, and orchestrates response across the full chain.

Our Vision

A world where supply chains never fail silently

By 2030, we aim to power the supply chains of 1,000 enterprises across 60 countries—preventing stockouts, reducing waste, and making the movement of goods as intelligent as the data surrounding it.

Core Values

Depth Over Breadth

We build fewer things and understand them more completely than anyone else in this space.

Speed with Rigor

We ship fast and test hard. Velocity without quality is just technical debt in motion.

Customer Obsession

Every roadmap decision starts with a customer outcome, not a technology trend.

Transparent Impact

We measure ROI, we share it openly, and we walk away from deals where we can't prove it.

Ownership Culture

Everyone at StackOrigin runs their domain like a founder. No passengers on the ship.

Global by Default

We hire everywhere, serve everywhere, and build for the diversity of how the world moves goods.

Founding Team

Decades in the trenches of enterprise supply chain

StackOrigin was founded by practitioners, not observers. Our founding team brings over a decade of hands-on experience designing, deploying, and scaling supply chain automation systems for some of the world's largest enterprises — spanning manufacturing, logistics, retail, and pharmaceuticals across Asia, Europe, and North America.

They've sat in the operations room during a port shutdown. They've rebuilt demand plans from scratch after a factory fire. They've negotiated with tier-3 suppliers in five languages. That lived experience is the product — it's why StackOrigin solves problems that enterprise teams recognize on sight, rather than problems that look good on a pitch deck.

Supply Chain Automation Enterprise Operations AI & Optimization Research Global Market Building

10+

Years of enterprise supply chain experience per founding member

50+

Large enterprise deployments managed before founding StackOrigin

Industry verticals operated in prior to building the platform

Continents of enterprise SCM transformation experience

Why We Were Built

Five convictions that drove every product decision

StackOrigin wasn't built from a market map. It was built from a set of deeply held beliefs about why enterprise supply chains keep failing—and what it would actually take to fix them.

Enterprise supply chain teams were drowning in dashboards yet starving for answers. Every major ERP and analytics platform gave operators more visibility—more charts, more alerts, more KPIs. None of it closed the gap between seeing a problem and doing something about it. We built StackOrigin on the conviction that intelligence without action is just a more expensive spreadsheet. Every product we ship is designed to reduce the time from signal to response—not to surface the signal and leave the rest to a spreadsheet.

73%

Reduction in decision latency for customers using StackSense

4.2x

Faster disruption response vs. traditional planning tools

→ Led to StackSense

The average Fortune 500 supply chain team runs 12–18 distinct tools across planning, procurement, logistics, and warehouse operations. Each has its own data model, its own alerts, and its own definition of "inventory." The result isn't a supply chain—it's a collection of siloed processes that happen to share a P&L. We made a platform bet early: one shared data model, five purpose-built products that read and write to the same layer of truth. When StackPlan forecasts demand, StackBase sees it in real time. When StackTrack detects a delay, StackFlow re-routes automatically. No exports. No middleware. No lag.

12–18

Avg. tools replaced per enterprise customer

Shared data model powering all five StackOrigin products

→ Led to the Platform Architecture

Classical demand forecasting assumes the future looks like the past. It worked reasonably well in a stable world—but the last decade proved that supply chains face a different kind of uncertainty: geopolitical disruption, climate-driven logistics failures, demand shocks with no historical precedent. StackPlan was built around a fundamentally different model: probabilistic scenario planning that ingests external signals—weather data, port congestion indices, supplier financial health scores—and runs forward simulations rather than backward regressions. Predict less, prepare better.

94%

Forecast accuracy across StackPlan enterprise deployments

200+

External signal sources ingested per forecast run

→ Led to StackPlan

Companies spend years digitizing their procurement and logistics—and then goods arrive at a warehouse managed by a paper-based WMS from 2009. The warehouse is where the physical and digital supply chains collide, and it remains the most data-sparse, labor-dependent, error-prone node in the chain. StackBase was built to change that: intelligent slotting, pick-path optimization, and real-time inventory accuracy that connects the warehouse floor directly to the planning layer above it—so what's in the bin always matches what's on the screen.

99.8%

Inventory accuracy achieved by StackBase customers

31%

Average pick-efficiency improvement in Year 1

→ Led to StackBase

Most "real-time" supply chain visibility platforms update every few hours. Shipments move in minutes. Port gates open and close in seconds. A delay that's visible at 6am can cascade into a $2M expedite cost by 9am if nobody acts on it. StackTrack was built on an event-streaming architecture that processes location, status, and condition signals from carriers, IoT sensors, and port authorities in under 90 seconds—then routes actionable alerts directly to the people who can do something about them. Not a dashboard. A dispatch system.

<90s

Signal-to-alert latency across StackTrack's carrier network

850+

Carrier, port, and IoT integrations live in StackTrack

→ Led to StackTrack & StackFlow

Our Team

Four Disciplines.
One Unified Mission.

StackOrigin is built by specialists who go deep—not generalists who go wide. Our four functional pillars each operate with the focus of a product studio and the accountability of an owner.

AI Research

Machine Intelligence & Predictive Science

Our research team bridges academic rigor and production deployment. Every model that ships to an enterprise customer has been stress-tested against real-world supply chain volatility—not benchmark datasets. We publish, we patent, and we ship.

Demand Forecasting Anomaly Detection Reinforcement Learning NLP for Procurement

18+

Patents filed

80+

Research engineers

94%

Forecast accuracy

Platform Engineering

Infrastructure Built for Enterprise Scale

200+ engineers operating across three global hubs, building the data platform, APIs, and product surfaces that power StackOrigin's five solutions. Our shared data model is the architectural decision that lets the whole platform act as one.

Distributed Systems Event Streaming API Platform Data Mesh

200+

Engineers globally

99.99%

Platform uptime SLA

Engineering hubs

Enterprise GTM

Global Market Building & Customer Acquisition

Our go-to-market team operates across five regions, specializing in complex enterprise deals that span procurement, IT, and operations stakeholders. We don't sell software—we sell transformation, and we prove it with a rigorous pilot methodology before asking for a signature.

Enterprise Sales Solutions Engineering Partner Ecosystem Product Marketing

Regional GTM hubs

280+

Enterprise accounts

Countries served

Customer Science

Outcomes Engineering & Expansion

Customer Science is our term for what most companies call Customer Success—but with a fundamentally different operating model. Our CSMs are trained supply chain practitioners who instrument every deployment, track business outcomes, and drive expansion based on value delivered, not contract renewal pressure.

Value Engineering Implementation Expansion Revenue Training & Enablement

127%

Net revenue retention

96%

Customer retention rate

<45d

Avg. time to first value

Careers at StackOrigin

Build the Future of
Supply Chain Intelligence

We're a team of engineers, scientists, operators, and storytellers united by a belief that the world's supply chains can be smarter. If you thrive in a high-ownership, globally distributed, outcome-driven environment—we should talk.

Why StackOrigin

Not just a job. A decade-defining problem to solve.

Supply chain is the circulatory system of the global economy — and it's been running on legacy software for 30 years. We're one of a handful of companies in the world with the platform, the data, and the team to actually change that.

Real production AI

Your models ship to Fortune 500 supply chains — not a sandbox. The impact is measurable and immediate.

Truly global scale

34 countries, five offices, 280+ enterprise customers. You'll work on problems that span continents and cultures.

Category-defining trajectory

Series C-backed, Gartner-recognized, and growing. Join while the culture is still being written by the people doing the work.

Practitioners, not passengers

Our founding team spent 10+ years inside enterprise supply chains. You'll learn from people who've lived the problem you're solving.

Move at product speed

We ship, measure, and iterate in weeks—not quarters. You'll own a meaningful surface area from Day 1, with access to real customer feedback and real production impact.

Global from day one

With offices in Singapore, Bangalore, London, Dubai, and Chicago, you'll collaborate across time zones, serve customers on five continents, and grow your career globally.

Research meets product

Our AI and ML work is published, patented, and deployed. Engineers work alongside researchers, and researchers see their models run in production at Fortune 500 scale.

Ownership at every level

We have no layers of approval between an idea and an experiment. Senior ICs influence roadmap. Everyone has equity. Your impact is traceable and celebrated.

Measurable outcomes only

We don't track hours. We track outcomes. Every team sets quarterly OKRs tied to customer value, and we hold ourselves accountable to the numbers we set.

Write to think, think to build

We're a writing-first culture. Proposals are documented. Decisions are recorded. Async communication is treated with the same precision as code or product specs.

Built for the Complexity
of Supply Chains at Global Scale.

Decades in the trenches of enterprise supply chain

Five convictions that drove every product decision

Four Disciplines.
One Unified Mission.

Build the Future of
Supply Chain Intelligence

Not just a job. A decade-defining problem to solve.

We invest in you
beyond the work

Find Your Right Role

Ready to transform your supply chain?

Built for the Complexityof Supply Chains at Global Scale.

Decades in the trenches of enterprise supply chain

Five convictions that drove every product decision

Four Disciplines.One Unified Mission.

Build the Future ofSupply Chain Intelligence

Not just a job. A decade-defining problem to solve.

We invest in youbeyond the work

Find Your Right Role

Ready to transform your supply chain?

Built for the Complexity
of Supply Chains at Global Scale.

Four Disciplines.
One Unified Mission.

Build the Future of
Supply Chain Intelligence

We invest in you
beyond the work