Material value
Every kilo
Small yield losses become real material cost when they repeat across batches and packs.
- Giveaway above target
- Scrap and rework increase
- Yield drifts from standard
Data & AI for food manufacturers
More value from every kilo, hour and euro
Food For Analytics helps food manufacturers bring ERP, MES, WMS, quality, machine and sensor data into one trusted manufacturing data platform. Titan provides the foundation for manufacturing analytics, reporting and AI, so planning, operations and management work from the same numbers on yield, stock, capacity and margin.
Start with a free 30-minute call to find the right first step.
ISO 27001 certified
Built on Azure Databricks
AI in Microsoft Teams
ERP
Orders and stock
MES
Production events
IoT
Machine signals
Governed foundation
Titan
Azure Databricks lakehouse
Delta
Lineage
Semantic
production
Improve yield
availability
Serve demand
margin
Grow profit
Data & AI for food manufacturers
More value from every kilo, hour and euro
Connect ERP, MES, WMS, quality and machine data in Titan, so teams can improve yield, capacity and margin from the same trusted numbers.
ERP
MES
IoT
Titan
Governed data foundation
Production
Improve yield
Availability
Serve demand
Margin
Grow profit
Trusted by leading food manufacturers
Where value gets lost
Value gets lost faster than reports can explain it.
Giveaway, lost line time and ageing stock look small in isolation. Across shifts and products, they quickly become lost material, capacity, cash and margin.
Where value leaks
Capacity value
Every hour
Lost minutes become lost throughput when speed loss and downtime are seen too late.
- Lines run below expected rate
- Stops consume available capacity
- Plans change too late
Financial value
Every euro
Stock, sourcing and production decisions directly affect cash and margin.
- Stock ages or expires
- Inventory exceeds real demand
- Margin moves without clear drivers
The data is there. The context is scattered.
Manufacturing data sits across ERP, MES, WMS, quality, planning and machine systems. Bringing those signals together takes time, often too much time to act.
See how Titan connects the contextWhere value gets lost
Value gets lost faster than reports can explain it.
A little too much giveaway. A line running below target. Stock ageing while demand moves elsewhere. Each looks small on its own. Across products, shifts and plants, they add up in material, capacity, cash and margin.
Material value
Every kilo
Small losses in yield quickly become material cost when they repeat across every batch or pack.
- Giveaway runs above target.
- Scrap, rework or quality loss increases.
- Actual yield drifts away from recipe or standard.
Capacity value
Every hour
Lost minutes become lost throughput when speed loss, downtime and planning changes are seen too late.
- Lines run below their expected rate.
- Stops and changeovers consume available capacity.
- Plans change after production has already been committed.
Financial value
Every euro
Margin and cash are affected by decisions made across stock, service, sourcing and production.
- Stock ages or expires before it is sold.
- Working capital sits in inventory above real demand.
- Margin changes without a shared view of the drivers.
The data is there. The context is scattered.
Manufacturing data sits across ERP, MES, WMS, quality systems, planning, machines and sensors, and maintenance systems. Each source shows part of the production process. Bringing that data together quickly enough to understand what changed and act is the challenge.
See how Titan connects the contextManufacturing data integration
Keep your systems. Connect the data behind the decisions.
Titan connects ERP, MES, WMS, quality, planning, machine and sensor data without replacing the systems you already run.
ERP
MES
WMS
Planning
Quality
Machines & sensors
Supported integrations
Food-industry systems already connected to Titan.
Other source? Titan also connects maintenance systems, databases, files and APIs.
How Titan connects dataManufacturing data integration
Keep your systems. Connect the data behind the decisions.
Titan connects data from ERP, MES, WMS, quality and planning systems, as well as machines and sensors, without replacing the systems you already run. The data comes together in one trusted context for yield, stock, capacity, service and margin.
ERP
MES
WMS
Planning
Quality
Machines & sensors
Examples of supported integrations
Food-industry systems we already connect to Titan.
Other source? Titan also connects maintenance systems, databases, files and APIs.
How Titan connects dataManufacturing Data & AI Platform
One definition of yield, stock, capacity and margin. Everywhere.
Your systems
Titan
Your trusted data foundation
01 · Harmonize
Harmonize data
Mapping · Relationships · Context
02 · Governance & trust
Govern & trace
Quality · Lineage · Access
03 · Define
Define once
Yield · Stock · Capacity · Margin
04 · Reuse
Reuse everywhere
Reporting · Analytics · Ask Titan
Trusted business KPIs
Manufacturing Data & AI Platform
One definition of yield, stock, capacity and margin. Everywhere.
Titan is a manufacturing data and AI platform for food manufacturers, built on Azure Databricks. It connects and governs data from ERP, MES, WMS, quality and planning systems, machines and sensors in one trusted foundation for manufacturing analytics, reporting and AI. Shared definitions for yield, stock, capacity and margin are defined once and reused everywhere.
Harmonize data
Bring mappings, relationships and operational context into one model.
Govern & trace
Control data quality, lineage and access across the foundation.
Define once
Define yield, stock, capacity, margin and other KPIs once.
Reuse everywhere
Use the same definitions across Power BI, Ask Titan, reporting and AI.
Titan Says
Detect early. Alert the right people.
Titan Says continuously monitors trusted manufacturing data and alerts the right people when a risk or opportunity needs attention.
Titan Says
Monitoring
Trusted Titan context
Production, material & quality data
material
production
quality
line & shift
Titan Says
Monitors what changes
01
Detect
02
Assess
03
Alert
Continuously monitoring Titan data
Titan Says alert
Example€18k estimated weekly material loss
Kilo
Euro
Yield gap
6 runs
Concentration
61% on Line 2
Giveaway
Increased
Production manager alerted
Titan Says
Detect risks and opportunities early. Alert the people who can act.
Titan Says continuously monitors trusted manufacturing data in Titan for meaningful changes. When a risk or opportunity emerges, it brings the evidence and business impact together and alerts the people responsible, so they can act before value is lost or an opportunity is missed.
Detect what changed
Continuously monitor performance and identify meaningful changes in the operational context already available in Titan.
Measure the business impact
Translate a deviation into kilos, hours or euros using trusted data and agreed business rules.
Alert the right people
Send the signal and supporting evidence to the people responsible, so they can decide whether action is needed and investigate further with Ask Titan.
Titan Says
Continuous monitoring
Trusted Titan context
Production, material & quality data
material input
production output
recipe
quality
line & shift
Titan Says
Monitors what changes
01
Detect change
02
Assess impact
03
Alert owner
Continuously monitoring trusted Titan data
Titan Says alert
Illustrative example€18k estimated weekly material loss
Kilo
Euro
Yield gap
6 consecutive runs
Concentration
61% on Line 2
Giveaway
Increased
Recipe change
None detected
Production manager alerted
Ask Titan
Ask what changed. See why. Decide what to do next.
Ask questions in everyday language and get explainable answers from trusted manufacturing data in Titan. Directly in Microsoft Teams.
Microsoft Teams
AI for MS Teams
What is the expiry risk for the next 7 days?
Expiry risk (7 days)
At risk: €84k
Top SKUs: 12
Change:
+1.7%
Explanation: calculated from current stock, FEFO rules, open orders and planned production. You can expand each step.
ERP
WMS
Excel inputs
Why did it increase?
Top drivers
- Supplier delay on two inbound lots
- Production shift moved to next week
- New customer orders consumed FEFO stock
Uses your data and definitions
Explainable
ISO 27001
SSO
Explainable AI
Ask Titan
Ask what changed. See why. Decide what to do next.
Ask Titan is an AI assistant for manufacturing teams in Microsoft Teams. It uses trusted Titan data and business definitions to answer questions in everyday language, shows the numbers behind each answer and helps teams understand what changed and why before deciding what to do next.
ISO 27001 certified
Microsoft 365 integration
No training on your company data
Answers explained step by step
Customer results
Measured results from food manufacturers.
Real results from planning, production and inventory teams using trusted data in daily operations.
Customer results
Measured results from food manufacturers.
Different decisions, same approach: connect the right data, agree the definitions and measure what changes in daily operations.
Customer story
Production planning
−30%
time needed to build the first plan
Planners start with a realistic draft based on orders, stock, capacity and planning rules instead of collecting and stitching inputs manually.
−40%
fewer manual checks
Daily
Ask Titan in planning
Read case
Customer story
Production performance
+3%
OEE improvement observed in six months
Real-time OEE makes performance losses visible during the shift, so production teams can act before the opportunity to improve has passed.
Real time
action during the shift
30 days
to first working version
Read case
Customer story
Inventory & operations
−8%
inventory cost
Seasonal demand forecasting and earlier purchasing signals helped improve stock decisions across a complex portfolio and multiple business units.
+6%
operational efficiency
Earlier
purchasing signals
Read case
Where to start
Start with one decision that has measurable value.
Bring one recurring problem in yield, downtime, stock, planning, service or margin. We map the decision behind it, the minimum data needed and the smallest credible step to prove the value.
A typical first use case
-
1
Pick a decision with economic impact
Kilo Yield & waste Hour OEE & downtime Euro Stock & margin -
2
Connect only the data needed
Bring together only the relevant data — from ERP, MES, WMS, quality, planning, machines or sensors — and agree the definitions.
-
3
Measure whether the decision improves
Deliver the first trusted answer or workflow and compare the result against the agreed baseline.
Common questions
Short answers about manufacturing analytics, Titan, Titan Says, Ask Titan, and how projects typically start.
What is manufacturing analytics?
Manufacturing analytics brings production, material, quality, planning, machine and sensor data together to understand performance, identify losses and improve decisions across the production process.
How does Titan support manufacturing analytics?
Titan connects data from ERP, MES, WMS, quality and planning systems, machines and sensors in one governed data foundation. This gives food manufacturers consistent data for production analytics, OEE, yield, inventory, reporting and AI.
What is Titan, in simple terms?
Titan is a manufacturing data and AI platform for food manufacturers, built on Azure Databricks. It connects ERP, MES, WMS, quality, planning, machine and sensor data into one trusted foundation for analytics, reporting and AI.
Does Titan replace our ERP, MES, or WMS?
No. Your manufacturing systems remain the systems of record. Titan connects their data into a governed data and AI layer so teams can work with consistent numbers across systems, plants and departments.
What is Titan Says?
Titan Says continuously monitors trusted manufacturing data in Titan for meaningful changes. When a risk or opportunity needs attention, it assesses the business impact and alerts the people responsible.
What is Ask Titan used for?
Ask Titan is an AI assistant for manufacturing teams in Microsoft Teams. It lets teams ask questions, understand what changed and why, and decide what to do next using trusted Titan data.
What is the difference between Titan Says and Ask Titan?
Titan Says continuously monitors trusted manufacturing data and alerts the people responsible when a risk or opportunity needs attention. Ask Titan is user-initiated: teams ask questions in Microsoft Teams to understand what changed, why it changed and what to do next.
How do you prevent conflicting numbers between dashboards and AI answers?
Dashboards, Titan Says and Ask Titan use the same governed definitions, lineage and access rules in Titan. Business logic is centralized and versioned instead of being recreated per dashboard, alert, prompt or person.
Can Titan run in our Azure tenant?
Yes. Titan typically runs in your Azure tenant or a dedicated tenant. This keeps your security boundaries, identities and access controls 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 business definitions can be confirmed.
Which teams usually start first?
Common starting teams are planning, production, quality, maintenance and procurement. The best starting point is usually the team that owns a recurring decision where better data can create measurable value.