IN Brief:
- Soufflet Malt has launched MALTimize to accelerate data and AI use across production and business operations.
- The platform converts production inputs into recommendations for quality, yield, and process optimisation.
- The rollout strengthens the connection between malting, forecasting, inventory, and integrated operations planning.
Soufflet Malt has launched MALTimize, a data platform designed to accelerate artificial intelligence use across malt production, quality management, forecasting, inventory, and commercial operations.
The platform has been developed through collaboration between Soufflet Malt’s internal IT team and InVivo Group’s IT and Digital Factory. It forms part of the company’s MALTiply 2030 strategy, which is built around digital and operational excellence across the group’s malting footprint.
MALTimize turns production inputs into operational recommendations, giving maltsters a clearer basis for setting processing parameters. In production terms, that means using site data to support decisions around quality, yield, process duration, energy performance, and repeatability between malthouses.
The company is developing the system as a shared global data ecosystem, enabling its malthouses to exchange operating knowledge more effectively. In a sector shaped by barley variability, climate exposure, energy costs, and customer specifications, better use of production data can improve both local control and group-wide consistency.
Malt production sits between agriculture, food processing, and beverage manufacturing. Barley quality sets the starting point, but steeping, germination, kilning, storage, and logistics determine whether the finished malt meets brewing and distilling specifications. Moisture, enzyme development, temperature, time, and energy use all influence extract, colour, flavour, filtration behaviour, and downstream process efficiency.
That makes malting a natural fit for stronger data systems. The raw material remains agricultural and variable, but the customer expectation is industrial consistency. Brewers and distillers need predictable malt behaviour because it affects brewhouse efficiency, alcohol yield, flavour development, and finished product quality. Variability pushes cost into the customer’s process when recipes, run time, filtration, or quality checks need adjustment.
Crop volatility is adding pressure to that model. Heat, drought, wet harvests, and regional growing conditions can affect barley quality before it reaches the malthouse. Digital tools cannot remove agricultural variation, but they can help operators identify it earlier, adjust processing conditions, and compare site performance against wider production experience.
Yield optimisation also has a sharper commercial edge when energy and raw material costs remain high. Kilning is energy-intensive, while barley quality and availability can shift with harvest conditions. A platform that supports better decisions on process duration, temperature, energy use, and quality outcome can help protect margins without relying only on procurement or customer price recovery.
The supply-chain functions built into MALTimize extend the project beyond the plant floor. Sales forecasting, inventory management, and integrated operations planning are closely linked to malt production because output has to align with crop availability, customer demand, storage capacity, and export schedules. Forecasting errors can create service risk or inventory pressure, especially where brewing and distilling customers depend on consistent supply.
Food and beverage manufacturers are steadily moving away from production systems that leave quality, planning, and commercial decisions in separate data environments. Process parameters, yield results, quality outcomes, stock movement, customer demand, and energy performance need to inform one another. Malting has long depended on experienced operators, and the value of AI will rest on whether it improves their decisions rather than flattening them into generic recommendations.
Ingredient suppliers are also being asked for more documentation, more traceability, and more sustainability data alongside functional performance. Malt customers want fewer surprises from a raw material that influences their own process yield and product quality. A system that links production control with forecasting and inventory can support more reliable customer service, particularly across a global malt network.
MALTimize’s success will be measured in the physical performance of malt production. Better dashboards only carry value when they produce stronger process control, more consistent quality, improved yield, lower energy exposure, and better planning discipline. Soufflet Malt is placing AI into the operating fabric of malting rather than leaving it as a reporting layer.
The rollout signals a wider shift in beverage ingredient manufacturing. Natural materials will remain variable, and experienced operators will remain central, but the factories that can combine agricultural understanding with live data and predictive control will be better placed to manage crop volatility, customer specifications, and cost pressure.
