Stop reacting to yesterday's numbers. We build predictive models on top of your Odoo data that surface demand shifts, customer risk, and cash gaps weeks before they hit.
We build models trained on your actual Odoo history, not generic benchmarks. The patterns that matter are the ones in your own business.
Every prediction surfaces in Odoo where your team already works, not in a separate BI tool they'll stop opening after two weeks.
Models are monitored and retrained as your business evolves. Seasonal shifts, new products, new customers: all handled.
We follow a structured approach to extract signal from your Odoo data and turn it into forecasts your team can act on.
We assess the quality and history depth of your Odoo data: sales, inventory, invoices, CRM, and identify what's usable for modelling.
We train and validate predictive models against your historical data, testing multiple approaches and selecting the one with the best accuracy for your use case.
Predictions are surfaced directly in Odoo as dashboard widgets, smart buttons, or automated alerts, so no new tool is required.
We track prediction accuracy over time and alert when a modelA mathematical function trained on data that maps inputs to outputs. In ML, a model is the artifact produced after training — it encapsulates learned patterns and is used to make predictions or…'s performance degrades, triggering a retraining cycle.
The most impactful predictive analytics use cases we've built for Odoo customers across industries.
Know what to buy, when, and how much, before stockouts or overstock happen.
Focus sales effort where it will have the most impact.
Anticipate cash gaps and plan proactively.
Models read directly from Odoo. No ETL pipeline, no Snowflake, no separate infrastructure to maintain.
Every forecast comes with the key drivers behind it, not a black-box score your team won't trust.
We understand Odoo's data modelA mathematical function trained on data that maps inputs to outputs. In ML, a model is the artifact produced after training — it encapsulates learned patterns and is used to make predictions or… deeply. Predictions use the right fields, the right relationships, the right business logic.
Most demand forecasting deployments reach production in 4–6 weeks, from data audit to live Odoo widget.
We've built models for distribution, manufacturing, and services. We bring proven patterns, not blank-slate experimentation.
We agree on accuracy benchmarks before go-live. If a modelA mathematical function trained on data that maps inputs to outputs. In ML, a model is the artifact produced after training — it encapsulates learned patterns and is used to make predictions or… doesn't hit target, we keep refining at no extra cost.
Let's explore how Trobz AI can automate your processes, enhance your ERP, and help your team make better decisions — faster.
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