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AI & Big Data

We combine passion for modern technologies with many years of experience gained in analyzing large data sets and creating analytical applications. Our interdisciplinary team specializing in the use of artificial intelligence (AI) and machine learning tools, in particular classification, prediction and data clustering models, cooperates with the scientific staff of renowned universities.

 

We offer a full range of solutions in the field of machine learning, AI and Big Data technologies in the optimization of key processes in the company. We organize the process of collecting, cleaning, coding and anonymizing, integrating and aggregating data, and above all extracting valuable business information from them.

 

The use of artificial intelligence algorithms and Big Data analytics enables quick and efficient market screening as well as obtaining and analyzing many millions of records in a short time for specific business problems. This is a great convenience in the work of people dealing with such tasks on a daily basis as:

  • automation of business processes (including sales and customer service)
  • optimization of production and distribution
  • inventory planning
  • constant optimization of the pricing policy
  • automation of customer service processes
  • forecasting market trends

automation of marketing activities

What are the advantages of AI & Big Data?

eliminating human error factor by automated decision-making processes in the company; in repeatable decisions AI will make them better and faster, will not be susceptible to suggestions or will not be driven by emotions

providing the basis for production strategies, allowing the expansion of manufacturing capacity in line with market trends

optimized distribution network owing to comprehensive geographic analysis of recipients

increased sales by developing cross-selling tailored to customers' needs

adjusted pricing strategy taking into account the competition analysis and clients' sensitivity to prices

taking effective business decisions by testing the concept based on data analytics

reduced storage costs due to accurate prediction of customer demand

limited risk of potential threats to investment projects by generating accurate forecasts

identification of factors determining customers and business partner satisfaction, enhancing long-term business relationships

optimised research expenses due to the proper use of existing resources

Areas we research by means of a given method:

Selected clients:

Selected references:

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