Automatisation métier
Réapprovisionnement et alertes de stock bas
- Suggestions d'achat basées sur la demande
- Détection des stocks dormants et vieillissants
- Suivi de la performance fournisseurs
- Tableaux de bord opérationnels en direct
- En détail
Les trois piliers de notre pratique IA
Entraînés sur votre catalogue, vos prix et vos règles
Gestion multilingue des conversations
Seuils de confiance avec transfert humain
Réapprovisionnement et alertes de stock bas
Six systèmes que nous déployons le plus souvent
Automation applied to stock and orders: reorder points that fire on their own, ageing stock flagged before it dies, purchase suggestions based on real sales velocity.
Gouvernance
Déploiement
Audit du processus
Live dashboards for stock value, sales velocity, ageing, margins and team performance, plus threshold alerts delivered where your managers already are. The report arrives before anyone has to remember to run it.
Exécution supervisée
Role-based permissions on what an agent may do, spend limits and approval gates on sensitive actions, redaction of personal data where it is not needed, and a complete log of every decision the system made.
Les questions qu'on nous pose le plus
We pick one workflow with a measurable saving and a low blast radius, and scope it as a fixed-price pilot.
The agent or workflow is built and connected to your real data in a staging environment you can test against.
It runs alongside your team with a human confirming outputs, so accuracy is proven on real cases before anything is trusted.
Thresholds are set, the human confirmation step is relaxed where the numbers justify it, and monitoring alerts are switched on.
With one process proven and measured, we extend to the next — using the same rails, at a lower cost each time.
Automation works best when it sits on a system that holds clean data. These are the ones we build it on.
Reorder points, ageing stock and purchase suggestions that fire on their own.
View systemLeads captured, scored and followed up without manual entry.
View systemDocument reading, claim preparation and clinical reporting.
View systemNo. Most of the value comes from automating a defined process, not from training a model. If you have a price list, a catalogue, a stock table and a set of policies, an agent can be grounded on those in days.
Every deployment has a confidence threshold and an escalation path. Below the threshold the conversation or task is handed to a human with the full context attached, rather than guessing.
Yes. Most projects are integrations across existing tools - accounting packages, CRMs, spreadsheets, e-commerce platforms - rather than replacements for them.
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