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First-plan preparation time
Data and AI services for food manufacturers
Practical AI
for food manufacturers
Workshop
PoC
Consultancy
Practical AI for planning, production, stock and margins. We connect your data, implement the application and guide your team.
Food expertise
Start small
Azure native
From AI advice to implementation and daily use. We connect your data and help your team apply AI to planning, production, stock and margins.
Food manufacturing expertise
Start with one use case
Azure native, IT in control
Not sure where to start? Tell us which decision or process you want to improve.
From first idea to daily use
Start with one use case and build on trusted data.
Strategic Data and AI Workshop
Choose a practical use case, assess the data and define success.
Data and AI Proof of Concept
Test one application with your own data and validate the result with users.
Data and AI Consultancy
Get support with data integration, AI implementation and daily adoption.
Results achieved with Titan
Customer results achieved with Titan
AI advice, implementation and daily use
Choose a workshop to set priorities, a PoC to test one application, or consultancy to implement and improve your data and AI solutions. Each service starts with the decisions your food business needs to make.
Data and AI Workshop
Identify where data and AI can improve planning, production, stock or margins. Agree on priorities, required data and the people responsible.
You get
- Prioritised use cases for your food business
- Data requirements and agreed success criteria
- A practical roadmap with clear owners
Explore the workshop
Data and AI Proof of Concept
Test one question about planning, production, stock or margins with your own data. We build a focused solution and review the results with your team.
You get
- One use case with clear success criteria
- A working dashboard or AI application within the agreed scope
- Results reviewed with users and advice on the next step
Explore the PoC
Data and AI Consultancy
Bring in expertise for data integration, Power BI and practical AI. We work with your IT and operational teams on implementation, validation and daily use.
You get
- Expertise in Azure, Databricks and Power BI
- Support with data integration and AI implementation
- User guidance and technical handover
Explore consultancy
How we work
From a business question to daily use
We help food manufacturers turn a question about planning, production, stock or margins into a working data or AI application, with clear ownership and support for users.
1. Define the question and data
Choose the decision you want to improve. Assess the available data and agree on KPI definitions, success criteria and who owns the result.
2. Build and validate
Connect the relevant data and build the dashboard or AI application. Users from production, planning or finance check the results against their daily work and the agreed success criteria.
3. Put it into daily use
Guide users and agree on ownership, access, monitoring and support. Use feedback from daily work to improve the application and decide whether to expand it.
Common questions
Practical answers about AI advice, implementation, data and daily use.
Do you offer AI advice and implementation for the food industry?
Yes. Food For Analytics helps food manufacturers select practical AI applications, connect the required data and implement the solution. We also guide users so they can apply it in planning, production, stock management or finance.
Which AI applications can we start with?
Examples include asking questions about orders, stock and margins with Ask Titan, or receiving signals about operational deviations with Titan Says. We choose one application based on your business question, available data and the decisions your team needs to make.
Which service should we start with?
Choose the Data and AI Workshop if you need to decide where to start and agree on priorities. Choose a Proof of Concept to test one application with your own data. Choose Consultancy when you need expertise or capacity for data integration, AI implementation or adoption.
What do we get from the Strategic Workshop?
You get prioritised use cases, agreed KPI definitions, named owners and a practical roadmap. We also identify which data is needed and what must be arranged before a PoC or implementation can start.
How long does an AI or data implementation take?
A focused PoC can often deliver a first usable result within weeks once data access is arranged. A production rollout also needs validation, access controls and support. We agree on timing based on scope, data quality, integrations and user availability.
Do you work with our existing systems and spreadsheets?
Yes. We work with systems such as CSB-System, Aptean Foodware 365, Reflex Systems, Dynamics 365 Business Central, FOBIS and Exact Online. We assess access, available interfaces and data quality for your setup. Connections are usually read-only, and spreadsheets can be included where needed.
How much time do we need to invest internally?
You need a business owner, an IT or data contact and a small group of users. They help arrange access, explain definitions and check the results. We agree on their involvement upfront and work with short, regular validation sessions.
How do you help our team use AI in daily work?
We involve users in selecting and testing the application, explain how to interpret its output and agree when human checks are needed. Before handover, we define who owns the application, how issues are reported and how it will be supported.
What does AI consultancy or implementation cost?
The cost depends on the application, data sources, data quality and support needed. We scope the work before quoting and distinguish one-off implementation from any recurring platform, cloud, licence and support costs.
Can Titan run in our Azure tenant?
Yes. Titan can run in your Azure tenant. We align with your security policies so your team keeps ownership and clear access boundaries.
Where could data and AI help your team?
Tell us what takes too much time or where you lack reliable information. In a short call, we discuss your systems, data and team, then recommend a workshop, PoC or consultancy.
What we discuss
- 1 Which decision or process you want to improve.
- 2 What data is available and who will use the result.
- 3 Which first step fits your scope and team.