AutomotiveBI, AI and ML for the business
A suspect lot, contained in minutes
Material lots, orders, serialised parts, sequenced shipments and the customer's vehicle numbers linked in one path. When a supplier flags a suspect lot, the exact scope to contain comes out in minutes, instead of a blind recall.
Illustrative scenario: it describes a typical case, not a customer project.
A suspect lot, and nobody can say where it went.
The welding-wire supplier warns that a lot may be out of specification. All the information needed to answer exists, but it sits in four systems: the ERP knows when the lot came in, the MES which cells mounted it, logistics what left for the car makers' lines and in which sequence.
Rebuilding the path by hand takes days, and meanwhile the safest choice is to warn the customer about the whole period: a blind recall that involves twice the vehicles needed. With the data linked, the same question has an exact answer.
- Who it's for
- Quality and supplier quality managers, logistics and customer service towards car makers, whoever writes the 8D reports.
In Muvia, step by step
Real product screens, recorded on a project with sample data.
The video · Material lots, orders, serialised parts, sequenced shipments and the customer's vehicle numbers linked in one path. When a supplier flags a suspect lot, the exact scope to contain comes out in minutes, instead of a blind recall.
What you get
- The exact scope, not the period
- Only vehicles fitted with parts from the lot are flagged, not everything built in those days.
- Containment in hours, not days
- The question «where did this lot go?» has an answer ready, for any lot.
- An 8D with the real numbers
- The report to the customer comes from the same data as the scope, with no copying by hand.
- A path you reuse
- Queries with the lot as a parameter serve the next warning, and the audits.
For the technical team
How it is built in Muvia
- 1
Connect the traceability tables
Lots, spools, orders, serials, shipments and vehicles come in as sources: databases copied on a schedule or files arriving over SFTP. No schema to design.
- 2
Join the path with queries
Lab queries link the lot to its spools, the spools to orders and welded parts, the parts to shipments and vehicles, with the lot as a parameter.
- 3
Compute the scope
A notebook with the lot as a parameter lists shipments, vehicles and dates, and compares the exact scope with a recall over the whole period.
- 4
Write the 8D on the data
The 8D notebook takes the same numbers: containment, cause, actions. It prints to PDF and is shared with the car maker.
- The data it needs
- Incoming material lots and production orders from the ERP
- Welded parts with serial number, cell and mounted spool from the MES
- Sequenced shipments to the car makers' lines
- Part serial and vehicle number from every shipment
- Parts of Muvia used
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Bring us a question you can't answer today.
We start from a real question your business has and walk the path from source to dashboard with your systems, not a demo dataset.