Meet us at World Aviation Festival 2026, Lisbon, 13 to 15 October. See the demos

Industries Consumer goods

Consumer goods

Find the cause, not just the complaint.

We connect complaints, testing, production and supply chain data so quality problems surface early and trace back to the batch, the line and the supplier.

A bottling line in a factory
The industry

Where the data lives.

Consumer goods makers run high volumes across many sites and suppliers. When something goes wrong, the evidence is spread across systems and written in customers' own words.

Who we work with Quality, supply chain, operations and finance teams.

The data challenge

Where data gets in the way.

Complaints arrive as free text.

Thousands a month, in customers' own words, across every channel.

Quality sits apart from production.

Testing, batch and complaint data rarely meet.

Several ERPs, several truths.

Acquisitions and regions leave systems that disagree.

Supply chains are hard to see.

Stock, supply and delivery tracked in different places.

How Jambo Labs helps

What we build.

01

Complaints traced to causes

Every complaint read, grouped by cause and traced to batch, line and supplier.

document AI · analytics

02

One ERP, one truth

Consolidation and migration with reporting rebuilt on a single model.

migration · data platform

03

Supply chain analytics

Supply, stock and delivery performance end to end.

analytics · dashboards

Interactive demo

From thousands of complaints to one cause, in 90 seconds.

Complaints arrive in customers' own words, with photos. Watch the system read the batch code, group the complaints, trace the rise to one line and one supplier lot, and draft the quality alert.

A contained demo on invented data. Nothing you do here leaves the page.

Techniques in this demoMultilingual NLPStep 1, Complaints: read in the language they were written in.OCRStep 2, Read: the batch code read from the customer's photo.Sentiment analysisStep 2: the customer's tone read alongside the problem.Complaint classificationStep 3, Group: complaints grouped by what went wrong, whatever the words.Root cause analysisStep 4, Trace: the rise traced to one line and one cap lot.TraceabilityStep 4: batch code to line, shift and supplier lot.
Also possible

Where the same data goes next.

  • Demand planning and forecasting by product, channel and region.
  • Supplier scorecards from quality, delivery and complaint data.
  • Sentiment tracked by product and region over time.
In practice

What our team has done before.

Work our team has delivered across their careers. Clients are anonymised.

Analytics & data science
Testing, claims and complaints together

Quality dashboards linking product testing, claims and complaints for a global consumer goods manufacturer.

Data platforms & engineering
Many ERPs into one

ERP consolidation and migration, with reporting rebuilt on a single model.

Where to start

Start with last quarter's complaints. We group them by cause and show which batches and lines they lead back to.

The two-week diagnostic
Start a conversation

Tell us the report your team rebuilds every month.

No pitch. We will show you what your own records could already do.

Talk through your use case

Photo: Filling line, Petr Kadlec, CC BY-SA 3.0.