Artificial Intelligence for Industries

Data analytics, forecasting, and artificial intelligence solutions for manufacturing.

Why Artificial Intelligence?

Artificial intelligence (AI) is a technology based on mathematics. AI models anticipate a variety of possible scenarios and provide optimal solutions in a given situations.

AI and statistical methods are used to plan product demand more accurately, and to set proper inventory levels in warehouses.
AI provides the ability to assess hundreds of factors and dependencies, something a human can’t do.
Decision making is automated, it is possible to simulate the impact of decisions.
AI systems are constantly improving through self-learning and getting better over time.

Thinking about applying AI ? Contact us – we know a lot about the use of AI !

What are DIPtech Products and Solutions?

Data Analysis and Modelling.

Many different types of data are generated in every manufacturing company, but only a few companies hire data analysts to effectively use that data to support business and operational decisions
We will assess your data: the quality, diversity, speed of updates, and potential value for the business. Then we will provide recommendations on whether and how you can use your data for better business results with the help of AI technology.

Accurate demand forecasting enables a manufacturing company to balance customer orders, production capacity and inventory levels. In this way, the highly expensive problems of manufacturing industries - overproduction and accumulation of illiquid stocks – can be solved. Essentially, 4 key business figures can be optimized with better forecasting:

revenue increase due to a higher product availability and better customer service;
cost and working capital reduction through optimized inventor levels;
lower losses from eliminating overproduction;
higher profitability due to more accurate planning decisions.

Demand Forecasting

Demand forecasting is a supply chain process of predicting future demand of the goods and products. It helps to ensure the supply of the required products without excess in overstock and overproduction.

When do you need Demand Forecasting?

Failure to fulfil customer orders on time due to stockouts.
Insufficient inventory turnover.
Overproduction.
Limited product shelf life.
Make-to-stock supply chain strategy.
Constant fluctuations in demand.
Continuous changes in production schedules and the need to respond quickly to these changes.
Dependence on a particular planning specialist.

What are the benefits for business?

DIPtech forecasting system allows you to:

combine internal and external data (marketing campaigns, competitors’ actions, weather forecasts, etc.);
see all the data you need to make a planning decision in one place;
find out product availability issues and decide on production plan priorities;
simulate various inventory replenishment scenarios and thus choose the best one;
see a longer planning perspective and have fewer changes in production compared to the plan.

Inventory planning system

DIPtech system integrates the processes of Demand planning, Inventory planning, Production planning, and Raw material planning.

AI strategy and consulting

AI-driven technologies can make a big difference to your business. We prepare AI strategies and assist companies in their journey towards AI, as well as consult on AI projects and implementation.

Tailor-made AI solutions

AI technology can be adopted in areas of quality control, image recognition, work safety, work efficiency, equipment maintenance, fraud prevention, etc. Together with our partners, we will offer integrated solutions.

DIPtech team

Dalius Mašalas, CEO, is an Artificial Intelligence specialist with 25 years of experience in IT industry. He has held managerial positions for 20 years and has delivered IT projects in 12 countries around the world. He advises companies on AI strategy and implementation projects.

Artur Nakliuda, Data Scientist, gained most of his experience working in the financial sector. He works with artificial intelligence technologies, statistical data analysis and data engineering. Artur is currently studying for a PhD in mathematics

Lukas Alijošius, Business development consultant, has over 8 years of experience in product and sales process development in the financial sector, for the most part. He has worked at one of the largest Baltic commercial banks, developed business operations of the largest European loan investment marketplace around the world from Mexico to Indonesia, founded and bootstraped his own e-commerce business and is a General Manager and Chairman of a sports team.

Orijana Mašalė, Partnerships Manager, has 10 years of experience in advising industrial companies. She has worked for Fortune 500 and Scandinavian insurance companies, has developed her own business and has been an advisor to the Minister of Economy. Orijana is an independent board member and chairperson, and has advised about 100 different organisations.

Dirbtinis intelektas pramonei UAB
Company code 305900394
VAT number LT100014418815

Saulėtekio al. 15-1, LT-10224 Vilnius
+370 682 53590
info@diptech.lt

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