86% downtime reduction
7 production facilities. One platform.
Traceability from receipt to finished product.
Batch processing, filling lines, packaging. You do not know what is happening across your facilities until someone files an end-of-shift report. By then, the yield loss already happened. The allergen cross-contact already occurred. The hold already backed up the warehouse.
/01
We trace an ingredient lot through your entire facility to find where documentation breaks and data disappears.
Your receiving dock. Your batching area. Your pasteurizers and filling lines. Your shipping floor. We follow the product through every step. Not from a conference room. From the floor. We see how your operators log CCP readings, how lots are tracked between process steps, and where the chain of documentation falls apart.
Where we look:
/02
Your pasteurizer temperature logs, your batch records, and your CCP readings. In one system. Building lot genealogy as product moves through the facility.
This is where traceability stops being a documentation exercise and becomes a system output. Your CCP readings are captured at the point of measurement. Not transcribed at end of shift. Your lot genealogy builds itself as ingredients move from receiving through batching, processing, filling, and packaging. Your quality records are generated from production data. Not assembled from paper after the fact.
MAST integrates with your ERP and your process control equipment. Nothing gets ripped out. Nothing gets replaced. The systems you already run start producing the documentation your auditors expect.
What this looks like on your floor:
/03
A CCP temperature starts drifting on Line 3. The system catches it before the batch is compromised.
That is what intelligence looks like in a food and beverage environment. Not a dashboard. Not a report. A system that watches your critical control points, your incoming inspection data, and your production sequencing. And acts on what it finds.
An ingredient lot arrives with an anomaly in incoming inspection data. It gets held before it reaches the mixer. Your production sequence creates an allergen cross-contact risk between runs. The system flags it before the changeover is missed. A hold-and-release decision that used to wait for the quality manager’s review happens in real time, based on data the system already has.
Clara, the AI assistant embedded in MAST, surfaces root cause when deviations occur. Recommends corrective actions. Answers operator questions about procedures and specs in plain language.
The system learns from every batch, every deviation, every correction. It gets sharper over time without adding headcount.
/04
Your new sanitation technician pulls up the CIP procedure on a tablet. Your quality tech traces a lot number from supplier to customer in minutes.
That is what adoption looks like. Not a training session that everyone forgets in two weeks. A system your people actually reach for because it makes their job easier.
Lila, the knowledge platform embedded in MAST, puts sanitation procedures, allergen changeover protocols, batch formulation instructions, and equipment-specific SOPs in front of your people when they need them. On the line. Not in a binder. Not locked in someone’s head.
When your most experienced quality manager retires, their knowledge of how to handle a deviation, how to run a mock recall, how to navigate an SQF audit does not retire with them. It is documented, structured, and available to the person who takes their place.
What your team gets:
86%
Downtime reduction across seven F&B production facilities.
7
Production facilities. One platform. Full traceability.
Receipt → Case
End-to-end lot genealogy. Every ingredient. Every step.
