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Manufacturing Analytics · Available now

Trace production results to their source.

Manufacturing Analytics organizes production measurement around a dated production snapshots record. An owner links a production resource definition, records operating minutes and unit quantities, and relates machine run facts to the snapshot.

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  • No per-user fees
  • Manual work is free
  • Configure it in Proto
OverviewProduction snapshot queue
Manufacturing Analytics · Production snapshots

Production snapshot queue

Production snapshots in one list

New production snapshot
Production snapshots in view
6
Configured
2
Collecting
2
Validated
2
Configured2
Press line A, Oct 15 day shiftPS-42656
680
01 Nov
CNC bay B, Oct 14 evening shiftPS-85750
650
29 Oct
Add
Collecting2
Assembly cell 3, Oct 15 day shiftPS-81568
940
11 Oct
Mixer room 1, week 41PS-87647
890
25 Oct
Add
Validated2
Packing line 2, Oct 14 night shiftPS-29160
500
26 Oct
Welding cell 5, Oct 13PS-53102
340
16 Oct
Add
Press line A, Oct 15 day shiftProduction snapshots · PS-42656
Configured
Production date01 Nov
OwnerDaniel Okoye
Revision680
Review resultPS-42656 · Press line A, Oct 15 day shift

Independent Reviewer decides on the analyzed production source revision.

Waiting for Independent Reviewer
ApproveReturn
Example screen with sample data
Tables, ready to use
17
Saved views
12
Roles with set permissions
6
Reports and dashboards
8
Features

Production results with their source in view

Every feature works on the same records. Pick one to see the screen your team works in.

Production snapshots

Keep each production date, owner and measurement revision together.

  • Ownership
  • Measurement
  • Revision
  • Production snapshots
  • Organizations
  • People
  • Production resources
  • State history
Explore production snapshots
OverviewProduction results for review
Manufacturing Analytics · Production snapshots

Production results for review

Published waits for the operations manager

New
NumberNameProduction dateRevisionStatusOwner
PS-46177Press line A, Oct 15 day shift01 Nov770AnalyzedNora Tanaka
PS-68206Assembly cell 3, Oct 15 day shift25 Oct930AnalyzedAiko Serrano
PS-32786Packing line 2, Oct 14 night shift13 Oct590AnalyzedSofia Haddad
PS-19381CNC bay B, Oct 14 evening shift16 Oct410AnalyzedMina Farah
PS-18097Mixer room 1, week 4119 Oct150AnalyzedMina Farah
6 of 6 records
Press line A, Oct 15 day shiftProduction snapshots · PS-46177
Analyzed
Production date01 Nov
Revision770
OwnerNora Tanaka
Example screen with sample data
Process

From observation to reviewed result

Production observation to reviewed result ships ready to use. One step needs a named approval before the work moves on: Review result (Independent Reviewer).

Drag a card to another stage, or focus it and use the arrow keys. It updates to match the stage.

  1. Configure measurement

    Set the effective definition, unit and source mapping.

    Press line A, Oct 15 day shiftPS-42656 · Metric Steward
    Configure measurementBy Metric Steward

  2. Collect observations

    Link dated machine facts and measured inputs to their production source.

    Press line A, Oct 15 day shiftPS-42656 · Snapshot Owner
    Collect observationsBy Snapshot Owner

  3. Validate revision

    Run validation for the selected source revision and inspect its outcome.

    Press line A, Oct 15 day shiftPS-42656 · Production Analyst
    Validate revisionBy Production Analyst

  4. Compute efficiency

    Calculate efficiency and confirm the persisted result fields.

    Press line A, Oct 15 day shiftPS-42656 · Production Analyst
    Compute efficiencyBy Production Analyst

  5. Review result

    Have an independent reviewer decide on the exact revision and evidence.

    Press line A, Oct 15 day shiftPS-42656 · Independent Reviewer
    Review resultBy Independent Reviewer
    ApprovalIndependent Reviewer decides on the analyzed production source revision.

  6. Assign follow-up

    Give an exception a named assignee, due date and resolution.

    Press line A, Oct 15 day shiftPS-42656 · Operations Manager
    Assign follow-upBy Operations Manager

Start with Definition review

Inside a record

Capture and measurement context together

Open any production snapshot to see its follow-up actions, the roles that work on it, its process stages and its approvals on one page.

  1. 1
    Record details

    Production date, Owner and Revision.

  2. 2
    Follow-up actions

    Each line is linked to this production snapshot.

  3. 3
    Who works on it

    Snapshot Owner, Production Analyst and Independent Reviewer, each with their own permissions.

  4. 4
    Process stages

    Every status change, in order.

  5. 5
    Approvals

    Review result, with who decides.

Production snapshot queuePress line A, Oct 15 day shift
Manufacturing Analytics · Production snapshots

Press line A, Oct 15 day shift

Configured

Log activity
1
Record details
Production date01 Nov
OwnerDaniel Okoye
Revision680
2
Follow-up actions

Press line A, Oct 15 day shift

TitleDue dateStatus
Investigate press line microstops11 OctOpen
Recount assembly rejects25 OctIn progress
Replace packing sensor bracket01 NovOpen
Follow-up actions
6
3

Who works on it

  • Snapshot OwnerManage production snapshots, machine run facts
  • Production AnalystManage metric observations, metric results, operation runs…
  • Independent ReviewerManage review decisions, evidence documents
5

Approvals

  • Review resultIndependent Reviewer
    Approved
Example screen with sample data
Approvals

A reviewer decision tied to the revision

The person preparing a source should not silently approve the same revision.

OverviewApprovals
Manufacturing Analytics · Overview

Approvals

Signed in as Independent Reviewer

Waiting for you

4 To review1 Overdue2 Decided todayOnly mine
0 selectedApproveReturn
  • MD-56513Good units per labor hour
    machine by shiftRequested by Leila Chen
    Draft3dActions
  • MD-34645First-pass yield
    line by dayRequested by Sofia Haddad
    Draft4dActions
  • MD-91857Unplanned downtime minutes
    product by batchRequested by Sofia Haddad
    Draft5dActions
  • MD-45734Scrap rate by product
    work center by weekRequested by Tariq Velasquez
    Draft3dActions

Who approves what

DecisionApprover
Review resultHave an independent reviewer decide on the exact revision and evidence.Independent Reviewer
Approve metric definitionsIndependent Reviewer
2 approval rules · set per role in Proto
Example screen with sample data
Who can approve what
Roles

A workspace for each role

Everyone opens Manufacturing Analytics to the work that is theirs. Pick a role to see what it starts with.

Snapshot Owner

Owns dated production snapshots and checks observations before validation.

This is the first screen this role sees.

OverviewProduction snapshot queue

Production snapshot queue

Production snapshots · Snapshot Owner

Configured2
Press line A, Oct 15 day shiftPS-42656
680
01 Nov
CNC bay B, Oct 14 evening shiftPS-85750
650
29 Oct
Add
Collecting2
Assembly cell 3, Oct 15 day shiftPS-81568
940
11 Oct
Mixer room 1, week 41PS-87647
890
25 Oct
Add
Validated2
Packing line 2, Oct 14 night shiftPS-29160
500
26 Oct
Welding cell 5, Oct 13PS-53102
340
16 Oct
Add
Example screen with sample data

Roles and permissions

Reports

Time, units and follow-up in context

Ask production questions with source and revision context.

Overview
Manufacturing Analytics · Overview

Manufacturing Analytics dashboard

This quarter

Source snapshots in view
6
Fresh
3
Stale
3

Production snapshots by status

How far records got this quarter

StageReachedStep
Configured42
Collecting1638%
Validated638%
Analyzed117%

Revision by status

Sample totals per stage

1.0k0
1.0kConfigured
-3000Collecting
-5000Validated
-6000Analyzed
-2000Published
Example screen with sample data
  1. 01Production efficiency trend

    Which dated sources show a change in the observed efficiency result?

  2. 02Snapshot status mix

    Show production snapshots by lifecycle status.

  3. 03Operating time by snapshot

    How do scheduled and run minutes compare for each source?

  4. 04Good and scrap units

    Which production dates require a closer look at unit outcomes?

  5. 05Metric result by dimension

    Group values by definition, period and dimension key.

  6. 06Source freshness

    Which capture windows are stale or failed before the next review?

  7. 07Validation run exceptions

    Which source revisions have a failed or reconciliation-required run?

  8. 08Follow-up aging

    Which assigned actions are still open after their due date?

All reports and dashboards

Who it's for

Fit the production cycle you run

See how Manufacturing Analytics fits your kind of team.

Discrete production teams

Review time and unit results for dated production work.

Multi-site manufacturing

Compare production results with clear organization and definition context.

Continuous operations

Review recurring production windows and investigate aging exceptions.

Controls

Trace the run behind the result

Each stage of production observation to reviewed result names the role that acts and the status it records, so a change is never anonymous.

OverviewProduction observation to reviewed result
Manufacturing Analytics · Process

Production observation to reviewed result

Each stage, the role that acts and the status it records

Process stages
10
Approval steps
1
Roles involved
5
Tables touched
4
Approve metric definitionApproval
Independent Reviewer
StatusDraft → Approved
Collect observations
Snapshot Owner
StatusConfigured → Collecting
Validate revision
Production Analyst
StatusCollecting → Validated
Production observation to reviewed result
  1. Start
    Approve metric definitionDraft → Approved
    Independent Reviewer
  2. Step
    Collect observationsConfigured → Collecting
    Snapshot Owner
  3. Step
    Validate revisionCollecting → Validated
    Production Analyst
  4. Step
    Compute efficiencyValidated → Analyzed
    Operation runs
  5. Approval
    Review resultIndependent Reviewer
    Independent Reviewer
Example screen with sample data

See each stage in detail

AI agent

Prepare the next review with Proto

Prepare production reviews with traceable sources and decisions.

It can

  • Snapshot Owner: List assigned production sources still collecting observations and show their dates.
  • Production Analyst: Find failed operation runs and show the source revision and recorded reason.
  • Metric Steward: Compare a draft metric definition with its source mapping and effective resource.
  • Independent Reviewer: Gather the run, result and evidence attached to an analyzed source revision.

Stays with a person

  • Proto can gather and explain records within the person's access.
  • The named reviewer makes the decision on a source revision, and the manager decides whether a reviewed result is ready to use.
  • Check source freshness, the operation outcome and current revision before acting on a generated summary.
  • Configure any external production feed with its owner and mapping rules.

Set up an agent

Integrations

Connects to the tools you use

Set up connections through ERP.AI and Proto workflows, with every change logged.

  • Manufacturing Analytics
  • Production source
  • Observation feed
  • Capture register
  • Evidence store
Data model

Your data, in tables you can change

Every record lives in a table you can see, extend and export. Add fields or whole tables in Proto.

Browse all 17 tables
17tables
  • Production snapshots5
  • Machine run observations5
  • Efficiency and metrics6
  • Definitions and mappings6
  • Execution trace5
  • Review and follow-up6
Implementation

Roll out one team at a time

Start with one team and one process, then add the rest once the basics are running.

  1. Agree the measure

    Name the operating unit, production date rule, time and unit definitions, source system and responsible people.

  2. Map the source

    Create organization and production resource records, source mappings and a reviewed metric definition.

  3. Prepare a bounded pilot

    Load a source capture, production snapshots and their linked observations for a short period.

  4. Rehearse operations

    Invoke validation and efficiency computation from the workspace. Check operation keys, steps, source revision and persisted fields.

  5. Review and release

    Have a separate reviewer record a decision, then reconcile the displayed result with source evidence. Assign and close a follow-up for a questioned case.

Read the implementation plan

Pricing

$0per user

The base account and everyday work in the ERP.AI app are free, for every user.

  • No per-user or per-seat fees
  • Viewing, editing, approving and exporting records in the app is free
  • Pay only for machine work: API calls, imports, workflows and AI agents
  • Prepaid credits from $5. Purchased credits never expire

Pricing details

Machine work rate card Included per $1 of credit

Machine work rate card
UsagePer $1
Record reads (list, filter, get)20,000
Search or aggregate queries4,000
Record writes4,000
Imported or synced records200,000
Workflow runs2,000
AI agent runs2,000
Scheduled jobs or webhooks20,000
File uploads (MB)2,000
CSV or PDF exports100
FAQ

Questions, answered

Scope, rollout and pricing for Manufacturing Analytics.

All questions
How do I get started?

Click Get started, then use Proto to configure Manufacturing Analytics for your business. Pilot one production unit, a short date window, a reviewed measurement definition and a sample capture that the analyst and reviewer can reconcile together.

What is the main working record?

A dated production snapshot carries the owner, definition, observed time and unit measures, lifecycle status and revision. Linked machine facts, runs and decisions explain how that source was handled.

Can we inspect individual observations?

Yes. Machine run facts retain their sequence, observed date, quantity, source reference and outcome with a link to the parent production snapshot.

How is efficiency computed?

The analyst invokes the computation for a source revision in the Production Snapshots Workspace. The operation run and numbered steps show the attempt. A successful outcome follows a read-back of the persisted source fields. Period and dimension results can be reviewed through their linked metric result records.

Who decides whether a result is accepted?

A named reviewer records a decision against the exact source revision, with a reason and evidence reference. The operations manager checks that decision before using the reviewed source.

Can we compare results across locations?

Organizations and effective production resource definitions give each source its context. Agree the metric grain, units and aggregation method before comparing results from different locations.

What happens when a source capture is stale?

The source snapshot records its freshness state, capture time and coverage window. The analyst investigates the capture before using linked observations in a production review.

How are exceptions followed up?

A manager assigns a due-dated action to a person. The assignee records progress, completion and resolution against the production source.

Can existing production systems feed the app?

Yes, as a configured connection. Agree source IDs, field mappings, capture windows and reconciliation samples with the team that owns each upstream system.

What drives the cost?

Manual use follows the platform's published policy. Imports, integrations, agent execution and other machine work use credits; implementation is scoped separately. See pricing.

Set up Manufacturing Analytics your way.

Start free, then use Proto to change fields, steps and approvals before your team goes live.

Start now Download Proto

How to get started

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