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 optimizing 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 tire manufacturing, where precision and speed are paramount,” explains Pekka Nurmi, Director, Enterprise Architecture & Digitalization 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.”
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.
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 prioritize 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.
AI-based monitoring and quality control bring a new level of efficiency to tire 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 tire meets strict quality standards.
This intelligent approach not only enhances product reliability but also supports sustainable practices by minimizing material waste and optimizing production resources.
“Our solutions are transforming the tire 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.”