Zenzo AnalystAsk what Manufacturing asks every week
From a quality alert to the material lot behind it, in one answer.
Zenzo for Manufacturing
Ask your plant data what changed, and why.
Production, quality and procurement data usually sit in separate systems, so a yield drop takes days to explain. Zenzo joins them and answers in plain English, with the working shown for every figure.
- Read-only connections
- Sensitive data hidden before AI sees it
- 30+ connectors
Connects to the systems used in Manufacturing
PostgreSQL
MySQL
Snowflake
Databricks
MongoDB
Excel (XLSX)
Google Sheets
Airtable
Jira
Microsoft TeamsWhere the numbers disagree
Where plant figures
stop agreeing.
Zenzo shows which figure came from where, so the gap can be closed.
TodayNumbers disagree
Plant manager · what they see today- Production countsMachine counters and manual entries are recorded separately.
- InventoryThe system books consumption at standard, but actual usage differs.
- DowntimeShort stops often go unlogged or without a reason.
- Cost per unitEach plant allocates overheads on a different basis.
With ZenzoExplained, with sources
Plant manager · with Zenzo- Production countsBoth counts, with the gap shown by shift.
- InventoryStandard and actual usage, with the variance itemized.
- DowntimeLogged and unlogged downtime shown separately.
- Cost per unitThe allocation rule stated with each figure.
How it works
From question
to answer you can check.
Follow one Manufacturing question through Zenzo, from the moment it’s asked to the evidence behind the answer.
Ask
Are we holding stock we won’t use this quarter?
Which products need the most rework?How much downtime is planned, and how much isn’t?
Answer
Are we holding stock we won’t use this quarter?
Raw material on hand against next quarter’s planned consumption.
Answered with Zenzo Analyst · from Snowflake and Excel (XLSX)
Evidence attached · sources and query shown
You get a plain-English answer with the evidence attached.
Questions with proof
Plant questions,
traced to the batch.
From a quality alert to the material lot behind it, in one answer.
How much downtime is planned, and how much isn’t?
Downtime split by reason code and line.
Are we holding stock we won’t use this quarter?
Raw material on hand against next quarter’s planned consumption.
Alert the supervisor when scrap passes 3%.
A plain-English alert on hourly quality data, posted to Teams.
What’s the approved procedure for this changeover?
The relevant SOP step, quoted from the current version.
A plant performance view
Answered with Zenzo BI from Databricks and PostgreSQL, with the evidence attached.
Decision rhythm
From shift report
to supplier review.
Plants run on shifts, suppliers on cycles, finance on months. Zenzo answers on all three clocks.
- End of shift
How did each line do against plan?
Zenzo deliversOutput, downtime and scrap per line, written up for the next shift.
- Daily
Is any machine or line drifting?
Zenzo deliversChange-point alerts on cycle time, scrap and downtime.
- Supplier review
Which suppliers deliver late or below spec?
Zenzo deliversOn-time delivery and defect rate per supplier, with the batches behind each.
- Monthly cost review
Where is cost per unit creeping up?
Zenzo deliversCost per unit by product and plant, with materials, labor and scrap separated.
Where each product fits
Start with Analyst.
Add the rest as you grow.
Zenzo products are built to work together on one platform, so each step builds on the one before it.
Live
Zenzo Analyst
Quality, downtime and supplier questions across production and procurement data.
Start hereEarly access
Zenzo BI
Plant dashboards by line, shift and product.
Learn moreEarly access
Zenzo Knowledge
SOPs, specifications and quality procedures answered with citations.
Learn moreComing soon
Zenzo Brain
Planned: connecting plant signals with supply and financial context.
Learn moreGuardrails
Switched on
from the first question.
The controls Manufacturing teams ask about first, applied to every query and every answer.
Privacy firewall
Only masked schema metadata is sent to the AI model. Sensitive data hidden before AI sees it.
Column-level masking
Give each role full, masked or no access per table, and redact, hash or partially mask sensitive columns.
Row-level security
Per-role and per-user filters are applied to every query automatically, so people only see their own data.
Tamper-proof audit trail
Every action is logged with personal data scrubbed and a cryptographic signature that proves it hasn’t been altered.
Single sign-on
Sign in with Google, Microsoft, Okta or any OIDC provider, with SCIM to add and remove users automatically.
Your model, your keys
Bring your own API key, choose OpenAI, Azure OpenAI or Anthropic, or run local models with Ollama.
Plant-level accessRead-only connectionsWatchers, not controllers
Explore more
Questions rarely stop
at one team.
These pages pick up where this one ends.
By department
FAQ
Questions from
Manufacturing teams.
Still deciding? We’re happy to walk through your own data and questions.
Does Zenzo connect to our ERP or MES?
Through the database or warehouse they write to, or through exports. We don’t claim direct ERP or MES connectors today.
Can Zenzo work with machine data?
If it lands in a database such as PostgreSQL, MongoDB or Databricks, Zenzo can query it.
Can supervisors use it on the floor?
Yes. Zenzo works in mobile browsers, and alerts can go to Microsoft Teams or Slack.
Can Zenzo forecast material needs?
It can forecast from historical consumption, and it shows the forecast’s error next to a simple baseline.
Get started
Bring your Manufacturing
questions.
Connect a source, ask what your team asks every week, and check the evidence behind every answer.
Read-only connections · Sensitive data hidden before AI sees it · 30+ connectorsCheck out the plans that fit your team or organization.
See Pricing