Discrete · Process · Supply Chain
The factory floor produces data faster than most teams can use it.
We connect production, supply-chain, and sensor data into one governed, trusted source so manufacturers can lift OEE, see the whole supply chain, and act on issues before they reach the customer.
The engagement
A partner who understands Manufacturing.
No one spends the first month explaining manufacturing to us. The team arrives knowing the sector's systems, regulations, and reporting rhythms, then builds the data models, governance, and dashboards alongside in-house teams, against the metrics they already answer for.
- Shop-floor, sensor, and ERP data unified into one governed, trusted source
- OEE and quality analytics that expose the real cost drivers
- Supply-chain visibility from raw material to delivered order
- Data foundations for predicting failures before they happen
What we stand up
The foundation a manufacturing practice runs on
The capabilities we put in place, and how fast. Measured results from a real manufacturing engagement are in the featured story below.
Challenges we solve
What Manufacturing teams are up against
The recurring problems we hear, and how we resolve them.
Machine and ERP data don't connect
We unify shop-floor, sensor, and ERP data into one governed, trusted source.
Hidden downtime and quality loss
We deliver OEE and quality analytics that expose the real cost drivers.
Supply-chain blind spots
We bring the whole chain into one view, from supplier to shipment.
What gets delivered
Deliverables
Tangible outcomes engineered to move the metrics that matter.
OEE & production analytics
Availability, performance, and quality in a single live view.
Supply-chain visibility
Tracking from supplier through to delivery, governed at every step.
IoT & sensor data pipelines
High-volume machine and sensor data, ingested and governed.
Predictive maintenance models
Data foundations for forecasting failures before they happen.
Stack
Tools & technologies
The Snowflake-first stack we reach for in this sector.
Built for the regulators
Featured engagement
How we delivered for Manufacturing
A real engagement, start to finish: the challenge, the build, and the outcome. Client names are withheld to protect confidentiality.
ManufacturingA manufacturing organization · Mexico
Governed, AI-ready data for manufacturing on Snowflake
A corrugated packaging manufacturer's product catalog exploded into thousands of SKUs and variants with no product architecture, distorting costs and slowing production. Viewnear designed a governed Snowflake foundation: a Medallion warehouse from SAP Business One via Openflow, master-data and SKU governance rules, a Standard SKU catalog, What-if simulation, and a Snowflake CoWork catalog agent over governed Semantic Views.
Medallion
Bronze, Silver, Gold warehouse
3 to 5
Critical catalogs in first wave
What-if
SKU optimization simulation
CoWork
Natural-language catalog agent
Let's stand up a lasting data & AI practice.
Tell us where the organization stands (migrating, scaling, or shipping AI) and we'll map the fastest path to use cases in production, run by in-house teams.