Titan™
Azure Databricks Data and AI Platform for Food Manufacturers
Titan is the Azure Databricks lakehouse and data platform for food manufacturers. It connects ERP, MES, WMS and sensor data into one governed foundation in Microsoft Azure, so every team works with the same definitions. Deliver food manufacturing KPIs in Power BI and get explainable answers in Microsoft Teams with Ask Titan.
Trusted by food manufacturers across Europe
You waste time when ERP, MES, and factory data don’t align
ERP holds orders and stock. MES and SCADA hold production events. Procurement tracks suppliers. Finance tracks margin. When these numbers conflict, teams waste hours validating data instead of acting on a single source of truth.
What it feels like today
- Decisions based on Excel versions, not one source of truth.
- Firefighting in planning and logistics because visibility is late.
- Margin and waste discussions that start with “which number is correct”.
What changes with Titan
- One data foundation across ERP, factory and supply chain.
- Live metrics for production, inventory and delivery reliability.
- Ask questions in Microsoft Teams with Ask Titan and see how answers are built.
Chat with your own data in Microsoft Teams with our integrated AI copilot
Ask Titan is a secure AI copilot in Microsoft Teams on top of Titan. Users ask questions in every language, see the numbers, and expand the steps behind every answer so they can trust the result.
Expiry risk (7 days)
Explanation: calculated from current stock, FEFO rules, open orders and planned production. You can expand each step.
Top drivers
- Supplier delay on two inbound lots
- Production shift moved to next week
- New customer orders consumed FEFO stock
Solutions for every department
Start with one KPI in one plant. Scale across teams and sites.
Start where the pain is highest. We deliver one clear KPI fast, then expand step by step across departments without changing the Azure Databricks data foundation or your standardized definitions
SmartSupply
Reduce firefighting and improve delivery reliability.
Typical outcomes: fewer shortages, better on-time performance.
SmartFactory
Improve OEE and reduce downtime and waste.
Typical outcomes: more throughput, less scrap, better shift control.
SmartStock
Reduce expiry risk and keep availability under control.
Typical outcomes: fewer emergency moves, better FEFO execution.
SmartCapital
Get margin clarity per customer, SKU and plant.
Typical outcomes: better decisions on pricing, yields and waste.
SmartSource
Improve supplier performance and procurement control.
Typical outcomes: fewer quality surprises, clearer cost drivers.
SmartC360
A clear view on customers, service and commercial performance.
Typical outcomes: better service levels and more predictable sales.
Not sure where to start?
Bring one KPI and one plant. We help you pick the fastest path to value and define a practical rollout plan.
Prefer a technical view? Explore the platform page for the reference architecture.
Real results at food manufacturers
Different plants, same pattern: less firefighting, faster decisions, and better control of stock, waste and margin.
Jan Zandbergen Group
Planning teams get direct answers in Teams on orders, stock and capacity, grounded in one governed model.
- Faster daily planning decisions
- Less manual validation and reporting
- Explainable answers on shared definitions
Luiten Food
Better control of stock ageing and expiry risk, with clearer margin signals across a complex portfolio.
- Earlier signals on stock at risk
- Fewer emergency moves and write-offs
- Better margin visibility per SKU and customer
Goodlife Foods
More reliable planning and stock insight across sites and channels, with consistent KPIs for planners and operations.
- Unified view on demand and production
- Clear KPIs aligned with shared definitions
- Foundation for scaling to AI use cases
Services that deliver a safe and fast start with Titan
You get value fast, with clear scope, security by design, and a roadmap that scales across sites. We cover data and AI platform architecture, governance, and delivery of Data and AI solution and Power BI.
Strategic Data and AI Workshop
A Data and AI roadmap that aligns stakeholders, determines shared definitions, define use case ownership, and a clear starting point.
Learn moreData and AI Proof of Concept
A focused Data and AI project that validates one business question using your own data, with a clear business owner.
Learn moreData and AI Consultancy
Targeted Data and AI support for your IT and data team across Azure, Databricks, factory integration, DevOps, and Power BI.
Learn moreCommon questions
Short answers about Titan, Ask Titan, and how projects typically start.
What is Titan, in simple terms?
Titan is a governed Azure Databricks data foundation that connects your ERP and operational systems into one shared model. It standardizes definitions, automates refresh, and makes reliable reporting and AI possible.
Does Titan replace our ERP, MES, or WMS?
No. Your operational systems remain the system of record. Titan connects them into an analytics and AI layer, so teams can work with consistent numbers across plants and departments.
What is Ask Titan used for?
Ask Titan helps teams get answers faster, directly in Microsoft Teams. It answers questions based on your Titan data and returns explanations, so users can understand and trust the result.
How do you prevent conflicting numbers between Power BI and AI answers?
Dashboards and Ask Titan use the same governed definitions and access rules. KPI logic is centralized and versioned instead of being recreated per report or per person.
Can this run in our Azure tenant?
Yes. Titan typically runs in your Azure tenant (or a dedicated tenant). That keeps your security boundaries and access control in place.
How fast can we see a first result?
If we focus on one decision and a limited dataset, a first usable output is often possible within weeks. The biggest drivers are data access and how quickly KPI definitions are confirmed.
Which teams usually start first?
Common starting teams are planning, operations, procurement, and finance. The best starting point is the team that owns a daily decision and feels the pain of slow or inconsistent reporting.
Ready to see Titan with your data?
Bring one use case, one plant and one team. We map definitions, connect sources, and show value quickly.
Typical start
- 1 Pick a KPI: on time delivery, OEE, expiry risk, margin, waste.
- 2 Connect a limited set of sources (read only) and align definitions.
- 3 Deliver live insights plus Ask Titan answers inside Teams.