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How AI is making automation even more of a game-changer

Joanne

4/1/2025 1:04:36 PM

News & Appointments

4 mins read

AI (artificial intelligence) is driving a new era in automation, where the fusion of advanced technology and smart systems creates solutions that are faster, more adaptable and fit for the future.

 

Integrating AI with automation unlocks new levels of adaptability, intelligence and responsiveness, enabling companies to build systems that not only meet industry demands, but also push boundaries.

 

Unlike traditional automation that relies on predefined instructions, AI-driven systems learn, adapt and make real-time decisions through machine learning and data analysis. This shift enables businesses to handle complex, dynamic environments with greater flexibility and precision, continually improving and optimising based on real-world conditions. AI-powered automation predicts needs, identifies inefficiencies and evolves with each interaction, facilitating faster and smarter decision-making, without human intervention.

 

“Cimcorp’s vision is to create solutions that meet the shifting demands of industries from grocery retail to tyre manufacturing, where precision and speed are paramount,” explains Pekka Nurmi, Director, Enterprise Architecture & Digitalisation at Cimcorp Group. “With AI, we are reimagining automation for a smarter, more adaptable future. This commitment ensures that our customers stay ahead in an evolving market, equipped with the smart and efficient tools they need to succeed.”

 

Benefits of AI-powered automation

 

AI is enhancing automation by making it more flexible, efficient and sustainable. Using data, AI supports better decision-making, predicts when maintenance is needed, ensures quality and improves workflows to keep operations running smoothly. This advanced technology prepares automated systems to handle changing market demands, ensuring they stay effective and resilient in the long run.

 

The crystal ball of retail

AI is changing how grocery retailers forecast and plan for the future. With AI, distribution centres can better anticipate demand, make faster decisions and deliver products more quickly. Predictive tools ensure inventory levels are just right to meet customer needs, without having too much or too little. Real-time data helps prioritise orders and speeds up fulfilment, leading to happier customers. In this way, automation not only increases productivity but also gives businesses the flexibility to stay competitive in a constantly changing market.

 

"All grocery retailers know the big seasons like Easter or Christmas,” says Kai Tuomisaari, VP Corporate Sales at Cimcorp Group, “but AI could help analyse small, local trends in the future. Say if, in certain area, tomatoes are trending due to a social media influencer, sales could be boosted." By analysing vast amounts of data, AI can identify patterns and predict consumer behaviour, enabling retailers to stay a step ahead.

 

Steering tyres into tomorrow

 

AI-based monitoring and quality control bring a new level of efficiency to tyre production, enabling manufacturers to reduce waste, improve product uniformity and quickly adapt to market demands. Through real-time data analysis, AI-driven systems detect even the slightest variations, ensuring that each tyre meets strict quality standards. This intelligent approach not only enhances product reliability but also supports sustainable practices by minimising material waste and optimising production resources.

 

“Our solutions are transforming the tyre industry by bringing unprecedented accuracy and adaptability to the manufacturing process,” says Jarno Honkanen, VP Solutions & Technology at Cimcorp Group. “With AI monitoring, we can catch deviations early, adjust swiftly and consistently deliver high-quality products. This approach not only enhances efficiency but also supports our clients’ goals for sustainability and agility.”

 

AI and the future of automation

 

The journey towards an AI-powered future is filled with both challenges and opportunities. Data security is a critical concern as AI systems process and analyse sensitive information, requiring robust measures to protect against threats. Integration complexity is another hurdle: combining AI with existing automation infrastructure demands a seamless, flexible approach that minimises disruptions.

 

“At Cimcorp, we are committed to sustainable, resilient solutions that prioritise innovation and responsibility,” says Pekka Nurmi. “While we are at the forefront of AI integration, we do not risk our own or our customers’ information. Instead, we develop secure frameworks, working with responsible partners and environments to safeguard data. Every challenge we address becomes an opportunity to refine our technology, ensuring it remains adaptable and future-proof, and delivers even greater value to our clients. Cimcorp is not just embracing the future of AI in automation – we are actively shaping it.”

 

www.cimcorp.com

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