Glacis

Glacis develops AI agents for supply chain operations at manufacturers and distributors. The agents are grouped into four functional areas: procurement and sourcing (purchase order confirmation, RFQ, supplier compliance, sourcing and supplier risk assessment), order intake (customer order intake, order validation and order status), transportation (document processing, freight coordination, carrier pricing and RFQ, carrier performance, multimodal orchestration and transit coordination) and finance operations (invoice audit and payment reconciliation).

The agents work in parallel on tasks such as following up on PO confirmations, resolving shipment issues and validating customer orders, writing results back into the customer's systems of record. In procurement, agents raise and confirm orders, chase outstanding responses and keep supplier records current so buyers handle exceptions rather than routine queue work. In order intake, agents read incoming orders in whatever format they arrive, check them against catalogue and pricing data and book them. Transportation agents monitor ocean, air and road shipments and flag those at risk of missing commitments, while finance agents match invoices against orders and receipts and route discrepancies to the responsible party.

The company positions the product as requiring no process changes or new tools, with go-live in weeks, and states that agents follow customers' existing SOPs at team, partner and flow level, learn account-specific standing rules, and improve with each order and shipment processed.

Business model

Glacis sells an AI agent platform to enterprise supply chain organisations, deploying agents that operate inside customers' existing systems and workflows rather than requiring replacement tooling. The public site directs prospects to schedule a call, indicating a direct enterprise sales motion; pricing is not disclosed in the available material.

Traction

The site cites named customers Arena and Diebold Nixdorf, with case studies describing a 78% reduction in inbound supply chain disruptions at Arena, 89% autonomous PO confirmation within two months at Arena, and zero manual PO follow-ups for a 25-person procurement team at Diebold Nixdorf. Additional unnamed deployments include a $10B European manufacturer with a 12-ERP landscape migrating to S/4HANA and a $300M manufacturer coordinating partial deliveries and schedule line updates in the first week. Aggregate company-reported outcomes include 74% fewer errors on average and up to 88% of team time freed.