Manufacturing Batch Analytics demo
Ask about a lot, a batch or a result in plain words; the answer is a genealogy graph, from raw material lots to finished batches and markets, with yields and deviations on every node. 1:13
What the demo shows
A manufacturing analytics solution for plant teams that answers yield and deviation questions.
A question in plain words, such as 'which finished batches used this excipient lot?', is answered as a genealogy graph: supplier inputs on one side, the lot in the middle, finished batches and the markets they shipped to on the other, with viability, sterility, deviations and status on each node. One question walks backward and forward at once, so a recall shows the exposed doses and any other lot sharing the failed input. Agents cite every source and draft the impact assessment; the Qualified Person decides.
Transcript
- Manufacturing Batch Analytics answers yield and deviation questions in plain words, for plant teams.
- Today, one batch investigation takes three months of joining records by hand.
- At 8.42, a supplier recalls cryo-medium, lot CRYO, 55.12, an excipient in every dose.
- Lena asks which finished batches used it.
- The agent traces backward and forward at once.
- Seven batches, three markets, five patients infused, two doses still at the center.
- Backward, it finds the same failed bottles in a second lot in our store.
- The agent drafts the impact assessment.
- The qualified person decides.
- Lena signs. Batch analysis that took three months now takes hours.
- Built on Botminds: agents, data, screens, and governance on one platform.
Transcribed from the film’s narration. Captions are on the player.