We help food processors, beverage groups, agricultural cooperatives, and consumer goods manufacturers accelerate product development, secure volatile supply chains, transform manufacturing performance, and build the digital backbone that food safety, traceability, and decarbonisation now demand.
Consumer expectations are shifting faster than most product development organisations can follow. Clean label, organic, local sourcing, sustainable packaging, new agricultural certifications – the list grows every year and varies by market. Meanwhile, regulatory requirements are tightening, while retailers expect new products to be developed, approved, and launched faster than ever. The companies that win are those that can accelerate time-to-market whilst embedding cost, sustainability, and regulatory constraints from the earliest design stages – not bolting them on at the end.
Food safety and traceability regulation is intensifying across every major market. HACCP requirements, allergen labelling obligations, evolving EU rules on deforestation-free supply chains, and novel-ingredient registrations create a compliance landscape that shifts constantly and varies by market. Meanwhile, consumers and retailers demand full transparency: not vague "natural" or "clean label" claims, but substantiated, traceable data from farm to shelf. Companies that treat compliance as a cost centre fall behind those that build it into their product data architecture from the start and turn it into a trust advantage.
Food and consumer goods supply chains manage high-volume flows under razor-thin margins, with raw material costs driven by harvest cycles, commodity markets, and geopolitical disruption. Add perishability, cold chain integrity, promotional volatility, a distribution landscape fragmenting across mass retail, food service, e-commerce, and direct-to-consumer – and the operational complexity is immense. Resilience is not a strategy exercise. It is built in the design of the network, the robustness of planning processes, and the quality of supplier relationships.
Food and consumer goods manufacturing is high-volume, margin-sensitive, and facing a triple constraint: deliver more performance from existing assets, cut energy consumption and carbon emissions against quantified targets, and do it with a workforce that is harder to attract and retain every year. Most companies have not exhausted the gains available through structured operational improvement – but they need to combine lean disciplines with energy transformation and industrial strategy, not treat them as separate workstreams.
Food and consumer goods companies – from cooperatives with distributed governance to fast-growing mid-market brands – often operate with fragmented IT landscapes, siloed data, and organisations designed for a simpler era. The need for end-to-end traceability, real-time performance management, and ESG reporting is exposing these gaps. Digital transformation and organisational transformation must go hand in hand – because deploying an ERP or a PLM without transforming the processes, the governance, and the people around it is a recipe for expensive failure.
Mews Labs embeds advanced analytics, simulation, and AI directly into our food and consumer goods engagements – turning operational data into decision-making advantage.
Smart formulation
Artificial Intelligence embedded in PLM tools to propose automatic recipes matching the customer brief.
Demand forecasting and planning optimisation
Machine learning models that improve forecast accuracy by integrating promotional calendars, weather data, seasonality, and sell-out signals, feeding directly into S&OP and production scheduling.
Supply chain network simulation
Mathematical modelling and scenario simulation to optimise distribution networks, warehouse locations, and transport flows across complex multi-tier supply chains.
Energy consumption modelling
Physics-based and hybrid models that identify energy reduction opportunities at site level, simulate decarbonisation investment scenarios, and track performance against targets.
Production scheduling and yield optimisation
Operations research and constraint-based algorithms applied to multi-product, multi-site manufacturing: sequencing, raw material allocation, and co-product maximisation.
Many challenges sit at the intersection of strategy, operations, and technology. We bring together complementary practices to address them.
Redesign the logistics and distribution network across 40 EMEA subsidiaries, and transform the road-to-market model for 7 international subsidiaries facing shifting retail channels and margin pressure.
New logistics masterplan deployed.
Distribution cost reduction achieved.
Go-to-market models redesigned per subsidiary to support omnichannel and food service growth.
Define a decarbonisation roadmap and energy efficiency masterplan for the Cheese BU's manufacturing sites, covering Scopes 1 and 2 emissions reduction.
Site-level energy masterplan delivered.
Priority investments identified.
Decarbonisation trajectory aligned with group sustainability commitments.
Replace manual planning processes with an agile, constraint-based scheduling tool capable of optimising dairy production across multiple sites with shared resources and seasonal demand variability.
Anaplan-based planning solution deployed.
Scheduling cycle reduced from days to hours.
Planners shifted from data consolidation to exception-based management.
Alignment of multi-sites entities on R&D & Quality processes and single digital solution to replace existing PLM.
Single tool deployed across countries, improving data continuity, data exchanges and efficiency.
Whether you are accelerating product launches, redesigning your supply chain, transforming your plants, or building the digital backbone your operations need – we bring the sector expertise and operational depth to make it work.
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