IN Brief:
- The Magnum Ice Cream Company has selected Accenture, HCLTech, Kinaxis, Microsoft, Salesforce, and SAP as key technology partners.
- The roadmap supports supply-chain planning, AI-assisted forecasting, demand planning, procurement, finance, CRM, and enterprise operations.
- Ice cream manufacturing is becoming more dependent on connected systems as weather, seasonality, freezers, and inventory pressure shape execution.
The Magnum Ice Cream Company has confirmed the technology partners that will support its new operating stack as it separates key systems from Unilever and builds digital foundations for a standalone ice cream business.
The company has selected Accenture and HCLTech as deployment partners, with Kinaxis, Microsoft, Salesforce, and SAP providing the main SaaS technologies behind supply chain, planning, collaboration, CRM, finance, and enterprise operations. The systems will be introduced in waves over the next 18 months as the business works toward the planned sunset of key Transitional Services Agreements with Unilever by the end of 2027.
The roadmap covers supply-chain planning, sales, finance, procurement, collaboration, forecasting, security, and freezer cabinet management. It includes AI-assisted forecasting and weather-based demand insights, both of which are especially important in ice cream, where consumption can move quickly with temperature, seasonality, promotions, tourism, and out-of-home demand.
Magnum’s standalone business is large and operationally complex. It is headquartered in Amsterdam and operates a portfolio including Magnum, Ben & Jerry’s, Cornetto, and Heartbrand products across 80 markets. The company has a global workforce of around 18,000 people, 34 factories, 13 R&D centres, and a fleet of about three million freezer cabinets.
Ice cream places unusual pressure on operations because production, storage, transport, and sales channels all depend on temperature control. Frozen production, cold storage, reliable transport, accurate allocation, tight inventory control, and service levels across retail, foodservice, convenience, and impulse channels have to work together without much tolerance for delay.
Seasonal peaks create pressure on factory scheduling, distribution capacity, and freezer availability. Weather shifts can then alter demand faster than traditional planning cycles can accommodate, leaving one region exposed to empty cabinets while another carries excess stock. Forecast accuracy therefore affects waste, working capital, customer service, and the ability to capture short demand spikes.
The new technology stack is designed to give the business a more consistent data and planning environment. Kinaxis will support supply chain and sales and operations planning. SAP will act as the global ERP backbone. Microsoft will underpin cloud infrastructure and collaboration. Salesforce will support in-home and out-of-home CRM. Accenture will deploy core enterprise, AI, data, and cybersecurity solutions, while HCLTech will manage infrastructure rollout and end-user services.
The shift reflects a wider movement in food manufacturing from isolated systems toward connected execution. Demand planning, production scheduling, procurement, inventory, customer service, and maintenance cannot operate as separate functions when volatility is high. Forecast errors in frozen categories can create waste, out-of-stocks, overstocked freezers, transport inefficiency, and cash pressure.
AI is increasingly being brought into production control and demand planning across food and beverage manufacturing, with manufacturers looking for practical gains rather than novelty. In Magnum’s case, AI-supported forecasting has a direct operational role because weather, events, promotions, freezer availability, and route-to-market conditions can all change daily demand.
The move also highlights the operational complexity of corporate separation. Building a standalone technology environment is not only an IT migration. It affects data ownership, master data, reporting, supplier interfaces, customer systems, cybersecurity, finance control, production planning, and cross-market ways of working.
Continuity during transition will be as important as the systems selected. A frozen-food business cannot afford disruption in planning, procurement, factory scheduling, or customer order management while technology platforms are being separated. The phased rollout gives Magnum a way to build its own architecture while maintaining operational stability.
The roadmap offers a useful marker for the direction of large food manufacturing businesses. The next phase of operational performance will depend on how well companies connect demand signals, factory execution, procurement, logistics, and customer data. In frozen food, where temperature, capacity, and timing are unforgiving, the digital backbone is becoming part of the production infrastructure itself.
