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Codeska cares about your company values  
 and ready to share our IT and SCM expertise

Let’s work **together**

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News

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With almost a century of history, F.I.L.A – founded in 1920 in Florence (Italy) and managed since 1956 by the Milanese Candela family – has established itself as a world leader in the industry of creative and artistic expression, with manufacturing plants, dozens of brands and thousands of products distributed in every continent. The company has experienced a rapid and continuous growth over time with the development of famous brands, such as Giotto, Tratto, Das, Didò, Pongo and Daler-Rowney, and Canson, as well as specific products for various sectors, from schools to fine arts.


In order to unify and optimize the company’s core processes and also strengthen customer relations, F.I.L.A. wanted to address the complexity of its vast, disparate global organization. It decided to implement a structured business and technology transformation program named “DNA” (Drawing New Attitude), based on a common operating model to be deployed to all Group companies, using new technology solutions with a future-ready design that could handle both the business and manufacturing challenges of a sector in constant evolution.


With the aim to create a unique model that combines control requirements with operational flexibility, F.I.L.A. Group and Capgemini worked together to develop a new enterprise platform based on a SAP S/4HANA solution, which was implemented initially in 20 companies and then extended to the entire Group. Within the framework of this extensive transformation project, Capgemini designed a solution to optimize the distribution model and reshape intercompany coordination, transforming a series of local companies into a single, global entity. A common operating model for all companies was defined, that included monitoring and controlling processes for investments and common current expenditure, along with a unique model of accounting-financial and operational-commercial reporting, that would enable F.I.L.A. to effectively manage an increasingly complex supply chain.


The choice of the SAP S/4 HANA solution allowed the implementation of a centralized management of the multiple business models within a single system and enabled the integration of innovative cloud-based solutions.


“With its established international expertise and best practices in digital operations, Capgemini was ideally suited to accompany F.I.L.A. in its business and technology transformation journey. Thanks to our Drawing New Attitude project, we have been able to equip ourselves with a common governance model, unifying both procedures and the management of company processes in our various plants,” said Emanuele Messina, Chief Information Officer, F.I.L.A. Group. “Furthermore, this led to the definition of a single control and profitability analysis model that delivered better visibility of the value chain, a key factor in supporting the creation of an international distribution hub.”


Combining our deep knowledge in manufacturing and SAP S/4HANA, Capgemini was able to contribute to F.I.L.A.’s transformation journey by addressing the complexity of their business and translating their desired approach into architectural future-ready solutions. Designed to optimize their distribution model and reshape their processes F.I.L.A.’s new unified platform and approach has transformed a set of disparate local companies into a single, global entity,” said Eraldo Federici, Manufacturing and CPR Director, Capgemini Business Unit in Italy.


A series of local companies is transformed into a single global entity 


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At our core we are exceptional creative problem solvers, but if you prefer labels, typically our projects fit into these services.


We are looking for people who share our values and our desire to build products that would simplify people’s lives (and benefit our clients).

Codeska proudly present open Ukraine beta-test of Obratka - a unique platform for ground container transportation


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Throughout the history of mankind, very often there have been cases where the goods that people need were produced far away from their place of residence. Thanks to logistics, territories that could produce only one product began to participate in world trade. It was possible to create a very effective system of international trade and provide people of the entire planet with a large selection of goods. Also, it became possible to deliver perishable food products in the shortest possible time, which significantly reduces their price, and the consumer has the opportunity to purchase them without overpaying for the percentage of rejection.



Logistics allows you to connect places of consumer concentration with production facilities, without losing money and time. The widespread use of logistics in the economy began in the 60-70s. XX century. This, to a greater extent, is associated with technological advances and the business needs of those times. Thanks to the development of technology, it became possible to carry out end-to-end monitoring of all stages of the movement of raw materials, billets, and finished products from the primary source of raw materials to the final consumer. The term “logistics” began to be used in situations involving the clear planning of an agreed sequence of actions. For the effective management of material flows in the economy, applied methods of applied mathematics, graph theory, and transport problems of higher mathematics were applied. With their help, the business receives income by skillfully optimizing transportation.



In the modern world, due to a number of global trends in world development, logistics systems are developing significantly. The process of planning, organizing, and managing the delivery of personal and non-profitable delivery speeds up. A better process requires control over all transport operations arising in combination with the use of modern means of information technology. Algorithms for providing relevant information to the owners affect the speed and quality of decision-making. And increasingly, logistics companies are introducing artificial intelligence mechanisms to keep up with global trends and become the best, winning in the competition.



Machine learning is one of the most popular approaches in artificial intelligence. Over the past decade, machine learning has become an integral part of our lives. This is effective because the machine can perform mechanical repetitive tasks. As more data becomes available, machine learning becomes a necessary element of technological progress. ML provides huge opportunities in the field of logistics. ML teaches computers to make a decision, instead of a person, and make decisions where it is not possible for a person to do this because of the large amount of data.



From the needs for transport goods to machine learning


Machine learning is one of the most popular approaches in artificial intelligence.

Logistics allows you to connect places of consumer concentration with production facilities, without losing money and time. The widespread use of logistics in the economy began in the 60-70s. XX century. This, to a greater extent, is associated with technological advances and the business needs of those times.



Improvement of logistics activities


An easy way to get to know Machine Learning


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Many believe that the concept of logistics involves the movement of goods from point A to point B. In fact, logistics — the process of planning and ensuring effective and continuous supply of goods, services, and related information from wherever they are to the consumers and aimed at meeting customer demands. Logistics ensures that the right product is in the right place at the right time. Therefore, in modern companies, it is an important task of inventory management.

Inventory control may be regarded as balancing between the high cost of maintaining inventories and the loss of unmet demand. For effective inventory management in modern business, you need the demand forecasting model. This allows to determine optimum inventory levels and plan supply company based on customer needs. Small companies can calculate the data using spreadsheet-based tools MS Excel and its own logic, but the larger the company becomes, the larger the area of ​​consumers and a wider portfolio of products, the more difficult to effectively simulate the supply process.

Machine learning enables logistics and the supply chain to optimize capacity utilization, reduce risk and create new business models. Advantages of using the ML algorithms in the inventory management system and planning of orders: 

1. Increasing the accuracy and speed of the prediction.
2. Optimize inventory levels, which affect the cost reduction of oversupply.
3. Risk management in the supply.
4. Automatic order planning and preparation of orders to suppliers.
5. Optimization of the product range.

 Advantages of using the ML algorithms

Methods of ML can solve not only the classic problem of time series prediction but to find more complex patterns

News

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Codeska proudly present open Ukraine beta-test of Obratka - a unique platform for ground container transportation

learning

An easy way to get to know Machine Learning

learning

Application of ML to optimize inventory