Can you connect Snowflake to our ERP, MES, or WMS?
Yes. Common systems include SAP, Oracle, Microsoft, Infor, Epicor, and others via APIs, files, and message queues.
Legacy systems, siloed reporting, and brittle integrations keep plant, supply chain, and customer insights fragmented. Passerelle helps manufacturers consolidate and govern critical data in Snowflake so operations teams can make faster, better decisions without rip-and-replace disruption.
Manufacturers today face pressure to deliver on time, reduce costs, and scale without disruption. With a modern data estate, you gain near-real-time visibility into orders, inventory, and logistics, while strengthening compliance and building AI readiness. Trusted data improves decision-making across quality, fulfillment, and customer service—laying the groundwork for predictive maintenance, demand sensing, and next-generation digital copilots.
Passerelle guides your teams from siloed data to a governed, scalable data foundation in the Snowflake Data Cloud:
Typical first value in 90 days via a focused use case and phased rollout.
“We knew if kept doing things ad hoc, we couldn’t scale. With the development of APIs and Passerelle engineering, we literally could go to market with a new customer in a week."
Juan Lopez, Executive Vice President of Engineering at Material Bank
Unify order, inventory, and shipment signals to get a single view of supply and demand. Enable exception‑based management and faster promise dates.
Improve customer SLAs while reducing costs by combining order, location, and driver telemetry to measure dwell times, cut miles, and speed delivery.
Create trusted records across channels and systems to eliminate duplicates, reduce warranty/return leakage, and power accurate analytics.
Standardize plant data to monitor scrap, downtime, and first‑pass yield; surface root causes and drive continuous improvement.
Expose secure APIs to onboard partners faster, launch new revenue channels, and deliver next‑day fulfillment experiences.
Centralize energy, waste, and emissions data to track progress and meet reporting requirements.
Yes. Common systems include SAP, Oracle, Microsoft, Infor, Epicor, and others via APIs, files, and message queues.
Most teams realize measurable value in ~90 days by starting with a focused use case like logistics or supply chain visibility.
No. Passerelle’s experience engineers implement in phases, maintain parallel reporting, and prioritize zero‑downtime cutovers.
No. We provide training and support so your analysts and engineers can run day‑to‑day confidently.