Industrial Analytics for Non-alcoholic Beverages Production

Ensure safety, energy efficiency, and quality in every step of chocolate manufacturing with TrendMiner.

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Ensure quality, food safety, and resource efficiency in every step of your process with TrendMiner.

Keep product on spec despite variability

Holding every batch on spec when inputs vary

Why it's relevant

Prevents off-spec products and rework while protecting margins by reducing giveaway and scrap.

Why TrendMiner

TrendMiner overlays process runs to identify deviations and uses ContextHub events to reveal what changed. Event Analytics identifies common drivers of off-spec events, while Monitors detect process drift before product release.

Assure food safety without over-processing

Proving thermal safety without over-processing

Why it's relevant

Ensures food safety and compliance while minimizing quality damage and energy waste, reducing unnecessary holding times and investigations.

Why TrendMiner

TrendMiner defines safe operating windows using time, temperature and flow parameters. Event Analytics quantifies breaches and links them to startups or micro-stops, while Monitors alert operators to divert or correct the process immediately.

Control oxygen & carbonation stability

Protecting shelf life and fill stability on high-speed lines

Why it's relevant

Protects product shelf life and prevents foam, CO₂ loss, underfilling and scrap on high-speed production lines.

Why TrendMiner

TrendMiner uses Similarity Search to identify recurring foam and CO₂-loss signatures. Fingerprints capture stable operating conditions, while Monitors alert operators to dissolved oxygen, temperature or pressure drift before it reaches the filler.

Get dosing accuracy & blend homogeneity

Dosing accurately and blending evenly, every batch

Why it's relevant

Prevents dosing errors and uneven mixing, minimizing batch adjustments, ingredient losses and quality variation.

Why TrendMiner

TrendMiner creates searches for under-dosing, wrong sequences, short mixing times and abnormal mixer loads. Event Analytics links these patterns to quality variance, while Fingerprints and Monitors flag similar profiles early.

Reduce losses & improve throughput

Turning micro-stops into recovered capacity

Why it's relevant

Fewer stops, less rework and more stable operations improve OEE, reduce unit costs and keep quality consistent. Small gains add up quickly at high production volumes.

Why TrendMiner

TrendMiner detects recurring micro-stops and restarts using saved searches. Event Analytics quantifies their frequency and impact, while TrendHub overlays reveal what changes before stops. DashHub and Monitors track and alert on repeated events.

Manage hygiene & fouling efficiently

Cleaning on condition, not on the clock

Why it's relevant

Keeps the process clean and stable while reducing unnecessary CIP time and utility use. Prevents fouling from cutting capacity or causing quality drift between cleanings.

Why TrendMiner

TrendMiner tracks fouling through pressure and temperature differences versus steam demand. Similarity Search identifies recurring patterns, while Event Analytics quantifies buildup and CIP recovery. Monitors trigger condition-based cleaning when performance drops.