Solutions
Data and AI for everyone in food manufacturing
Start with one solution and go live in weeks. Scale across plants and teams.
Data and AI solutions for everyone in food manufacturing
Pick one solution and go live in weeks. Each solution runs on the same governed data and AI platform, so you can expand across plants, teams, and decisions without issue.
Not sure where to start? Share what you want to improve and we will point you in the right direction.
One governed model
Same definitions across production, stock and finance.
Faster decisions daily
Less time searching, more time acting on exceptions.
Trusted and secure
Role based access, auditability, ISO 27001 approach.
Trusted by leading food manufacturers
Who it’s for
Built for manufacturers in need of decisions
Role based insights on top of one governed model. Less discussion about numbers, more action.
Planning
Constraints, priorities, and plan stability in one view.
Production
Performance, loss, and downtime drivers per line or plant.
Supply chain and stock
Stock risk, ageing, and shortages before they hit the plan.
Commercial and sales
Customer performance and drivers, tied to the same numbers as ops.
Solutions
Pick the solution that matches your first use case
Each solution is a clear starting point, and they all connect to the same platform when you expand.
SmartFactory
Improve OEE by pinpointing downtime, speed loss, and quality loss per line and shift using live factory data.
OEE snapshot
OEE
82%
SmartSupply
Protect service levels with one overview of inbound and outbound flows, constraints, and delivery risk.
Today route status
Departures
149
On time
124
At risk
18
SmartStock
Reduce waste and free working capital with a real time view of stock, ageing, and expiry risk.
Expiry risk
SmartC360
One customer and channel view for margin, volume and service, aligned with finance.
Margin by channel
SmartCapital
Connect production, waste and commercial data to margin so finance sees what drives profit.
Margin bridge
Current margin
€1.8M
Change
+€370k
SmartSource
Procurement cockpit for buyers with one view of suppliers, prices, contracts and risk.
Supplier score
Principles
One governed model behind every solution
Each solution is a focused cockpit. Titan standardizes your key definitions on an Azure Databricks foundation.
In practice: you get reusable building blocks, with numbers that stay stable as you scale.
Result
- Less discussion about whose numbers are right
- Faster rollout to the next plant or team
- Governance stays in place as you expand
-
One goverend model
Shared tables and definitions across production, supply chain, finance, and commercial.
-
Reusable modules
Start with one use case, then replicate the same patterns to other plants and teams.
-
Security by design
Access control, quality checks, and encryption are built in, so trust grows over time.
-
AI ready
When you add Ask Titan, answers are grounded in the same trusted model and sources.
Ask Titan works across all six solutions in Microsoft Teams
Ask questions in MS Teams across factory, stock, finance, customers and suppliers. Without building new dashboards.
Expiry risk (next 7 days)
Based on current stock, FEFO rules, open orders and planned production.
Common questions
Short, practical answers we often cover with operations, finance, and IT teams.
Do we need to implement all solutions at once?
No. Most teams start with one solution that improves one decision first. When definitions are stable and value is proven, you expand to the next module.
How do the solutions relate to Titan?
Each solution is a module on top of the same Titan foundation. That means one data model approach, one definition layer, and a consistent way to scale across plants and teams.
Which solution is the best starting point?
Start where the decision pain is highest. Common starting points are stock risk, factory performance, service risk, or margin. If you share the decision, we can recommend the simplest first scope.
What data sources are typically needed for the first module?
Often ERP plus one operational source that adds context, such as WMS, planning, MES, or quality. We start with the minimum data needed to answer the first decision reliably.
How do you prevent KPI discussions from repeating per dashboard?
We centralize KPI definitions in the semantic layer, validate them with owners, and version changes. That reduces rework and keeps dashboards and AI answers aligned.
Can we add Ask Titan on top of these solutions?
Yes. Ask Titan works on the same governed data and definitions, so users can ask questions in Microsoft Teams without creating new calculations or conflicting numbers.
How long does it take to see a first live output?
With a focused scope and quick data access, a first usable output is often possible within weeks. The key is tight scope and fast validation of definitions.
Start with one solution and grow from there
In a short call we map your plants and systems, pick the best entry point, and outline a practical plan to go live.
No big program. Concrete use cases, clear ownership and short cycles.
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.