AI Digital Workers for Supply Chain
Hey everyone! We’re Sam and Eshani, the co-founders of Lumari 🔥
TL;DR: Lumari is AI-powered procurement automation for direct materials and supply chain. We deploy 100s of always-on AI agents that run sourcing workflows, manage RFQs, expedite purchase orders, and coordinate supplier communication end-to-end.
The Problem ❌
Supply chain teams are stuck in reactive mode.
- Buyers spend their days copy-pasting between email, spreadsheets, and ERPs, chasing supplier quotes, following up on late POs, and manually entering delivery updates
- Missed delivery dates and poor visibility lead to expediting costs, production delays, and revenue risk
- Existing tools require suppliers to adopt new portals and force rigid workflows that don't reflect how teams actually operate
- There's too much operational work and not enough time for strategic decision-making
Lumari’s Solution ✨
Lumari brings autonomous agents to supply chain and acts as a force multiplier for the team.
- Automates the manual chase across the entire procurement lifecycle, from RFQs to PO tracking to supplier follow-ups
- Compresses cycle times and gives teams full visibility into active orders, RFQs, and supplier performance
- Operates directly on top of existing tools (ERP, email, Slack, Excel) with no rip-and-replace and no supplier onboarding
- Teams are always in control with configurable guardrails and approval layers for every action
- Customize your agent behavior and configuration in plain English
We partner closely with every customer to adapt our agents to their specific processes and systems, from Fortune 500s to fast-growing scale-ups.
The Team
Sam Lamba is an ex-Google engineering lead who led the development of AI-driven products that scaled to millions of weekly enterprise users, and has received 2 AI patents. Sam also previously worked at Amazon and Tesla and holds a degree in Electrical and Computer Engineering and Computer Science from Duke University.
Eshani Mehta was previously at Stripe leading payments intelligence products handling $XXX million in volume. She also previously worked at Robinhood and Snap and studied Computer Science at UC Berkeley.
Our Ask
- 📅 Book a meeting with us if this could be useful for you or your team
- Follow us on LinkedIn!
- Check us out at lumari.io or read lumari.io/blog to understand the problem better
