Book a demoIn this segment, what determines the outcome isn't machine availability — it's how many bottles, liters, or units come off the end of the line. And the bottleneck is rarely where you'd expect: often it's the simplest piece of equipment on the line, not the most expensive one, that's holding back everyone else's volume. Cogtive shows the entire line's flow in real time, from filling to palletizing, and where that volume is being lost.
Micro-stops, speed variations, and the bottleneck hidden in the simplest machine on the line drain volume without ever showing up in a spreadsheet. Cogtive captures every event and shows you where the line is losing volume — and why.
In food and beverage, a line can stay available for the entire shift and still deliver fewer bottles, liters, or packages than it should — because of speed variations, small stops, and adjustments a spreadsheet never captures. Cogtive shows the real volume produced by line and by SKU, not just whether the machine was running.
Performance and Quality carry more weight than Availability in this segment — that's where the missing volume shows up at the end of the shift.
With visibility into micro-stops and standardized time per SKU, one line went from 37% to 66% OEE in nine months — more than 29 points of efficiency recovered with no new investment in equipment.
Every flavor, bottle, or packaging changeover that takes longer than it should is volume the line failed to produce. Smart Setup replaces paper checklists with a step-by-step digital guide on the operator's tablet, standardizing setup time regardless of shift or who's operating.
The Ramp-Up report tracks the line's performance in the first hours after the changeover, confirming the setup was done correctly before it turns into rework or an out-of-spec batch.
In food and beverage, a deviation that goes unnoticed on the line — an out-of-spec fill level, a crooked label, damaged packaging — turns into a return, rework, or a total batch loss. AI Vision uses computer vision to identify these quality deviations in real time, right on the line, without relying on manual sampling inspection.
At manual workstations — inspection, packaging, kit assembly — AI Vision also tracks the station's pace and identifies productivity drops and idle time with no manual logging.
Not every question is "is this machine stopped?" In food and beverage, what matters is whether the production pace matches the shift's target, and where on the line — from filling to palletizing — the real bottleneck is.
Pace Management shows whether each line is running at the pace needed to hit expected volume. Flow View shows where each batch is in the flow, automatically identifying which stage is holding back the others before the delay reaches the customer.
Production Management System
Hover over this section to pause the video and watch OEE drop
High-speed lines, frequent product changeovers, and short production windows leave little room for inefficiency. Cogtive sees every micro-stop and pace variation in real time — and turns that data into action within the same shift.
30-second micro-stops disappear in Excel but destroy the line's real volume. Cogtive automatically captures every event and shows how many bottles, liters, or units the line actually delivered — not just whether the machine was available.
Smart Setup replaces paper checklists with step-by-step digital guides on the operator's tablet — reducing setup time and ensuring every changeover follows the correct standard, regardless of shift.
Flow View shows in real time where each batch is in the flow — filling, labeling, secondary packaging, palletizing — and automatically identifies which stage is holding back the others, even when it isn't the most sophisticated equipment on the line.
Whether it's a continuous beverage line or a batch food process, Cogtive calculates the real volume and performance for each type of operation — with no distortions in the metrics, beyond just machine availability.
Set up notifications via email, Teams, or Slack when a line exceeds the standard downtime or when performance drops below target — your team acts in the same shift, not the next day.
Operators log directly on the tablet, or IoT sensors collect data automatically. Metrics update in real time, with no need to wait until the end of the shift to know what happened in production.
in savings generated for clients
increase in production capacity
reduction in lead time
return on investment
increase in equipment availability
payback per industrial unit
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In the manufacturing industry, continuous performance improvement is crucial to achieve operational efficiency and competitiveness. Moreover, it is important to consider that there are specific metrics that can guide this process. One essential metric for evaluating production efficiency is OEE, which stands for Overall Equipment Effectiveness. This metric measures resource utilization and production quality. In […]
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Industry 4.0 is characterized by the use of advanced technologies and connectivity to increase efficiency, productivity, and quality in manufacturing. In this context, measuring indicators is essential to identify areas for improvement and make data-driven decisions. Additionally, one of the most important indicators for Industry 4.0 is OEE, which stands for Overall Equipment Effectiveness. What […]
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