Insights
Practical data and AI guides for food manufacturers
Guides for planning, stock, expiry risk, OEE, OTIF, yield, data platforms and AI in food manufacturing.
Practical data and AI guides for food manufacturers
Learn how food manufacturers use trusted data, analytics and AI to improve planning, stock, expiry risk, OEE, delivery reliability, yield and margin decisions.
Topic map
Start with one daily decision
Each guide explains the problem, required data, KPIs, workflow, common mistakes and how Titan or Ask Titan can help.
Planning
Production planning, capacity, scenarios and Ask Titan examples.
Stock
Expiry risk, FEFO, stock ageing and shelf life analytics.
Factory
OEE, downtime, yield, production loss and line performance.
Platform
ERP, MES, WMS, Azure Databricks, Power BI and governed AI.
Trusted by leading food manufacturers
Insights hub
Practical guides for food manufacturing data and AI decisions
Practical guides for food manufacturing data and AI decisions
Start with a concrete business problem. Each insight explains the decision, the data sources, the KPIs, the common mistakes and the most realistic first step.
Planning
Food production planning
How food manufacturers improve daily production planning by connecting orders, stock, shelf life, capacity and production constraints.
Stock and expiry
Expiry risk in food manufacturing
How food manufacturers reduce waste and write-offs with better visibility into stock, shelf life, FEFO, demand and production data.
Factory performance
OEE in food manufacturing
What food manufacturers should measure before improving line performance, downtime, speed loss and quality loss.
Data platform
ERP, MES and WMS integration
How food manufacturers connect operational systems into one trusted data foundation for reporting, analytics and AI.
Stock and expiry
FEFO inventory management
How FEFO helps food companies use stock before expiry and why trusted batch and shelf life data matters.
Supply chain
OTIF in food manufacturing
How food manufacturers improve delivery reliability by connecting demand, stock, production and logistics signals.
Factory performance
Yield optimization in food manufacturing
How operations and finance teams use production data to understand yield loss, waste, rework and margin impact.
Data platform
Food manufacturing Data & AI platform
What a food manufacturing data platform is, what it should connect and why it does not replace ERP, MES or WMS systems.
Waste reduction
Food waste reduction with data
How food manufacturers reduce waste by connecting stock, shelf life, production, quality, planning and commercial data.
Margin visibility
Margin visibility in food manufacturing
How food manufacturers improve margin visibility by connecting sales, cost, production, yield, waste, logistics and customer data.
Stock and expiry
Stock visibility across food production sites
How food manufacturers improve stock visibility across plants, warehouses and production sites by connecting ERP, WMS, batch, expiry, quality and planning data.
Reporting and AI
Manual reporting in food manufacturing
How food manufacturers reduce manual reporting by replacing recurring spreadsheet work with a trusted data and AI platform.
Frequently asked questions
What is the Insights hub?
The Insights hub is a collection of practical guides for food manufacturers that want to improve decisions with trusted data, analytics and AI.
Who are these guides written for?
They are written for planners, operations managers, supply chain teams, finance leaders, IT teams and management teams in food manufacturing companies.
Do these guides only explain Titan and Ask Titan?
No. Each guide starts with the business problem, required data, KPIs, workflow and common mistakes. Titan and Ask Titan are introduced where they are relevant as the data and AI layer.
Which guide should we start with?
Start with the decision that slows your team down today. For many food manufacturers this is production planning, expiry risk, OEE, delivery reliability or disconnected ERP, MES and WMS data.
Can these topics be used in a workshop or readiness call?
Yes. The guides are designed to help identify a practical first use case for a Data and AI Readiness Call, strategic workshop or proof of concept.
How often are new insights published?
The first hub is planned as a controlled rollout with one new insight every two weeks, so each page can be published, linked, promoted, monitored and improved properly.
Which decision should you improve first?
Start with one decision
In a short call we map your systems, pick one daily decision, and define the first step.
Good first use cases
Production planning
Orders, stock, shelf life and capacity.
Expiry risk
Stock ageing, FEFO and waste reduction.
OEE and downtime
Line performance and production losses.
ERP, MES and WMS
One trusted foundation for analytics and AI.