Data science & Data Engineering

Customer management

Successful customer management is comprehensive and has often been neglected by companies due to the effort involved. Customer satisfaction is a fundamental component of a company’s success and should therefore be given the appropriate recognition. Working with one’s own customers efficiently, transparent and trustworthy cooperation is essential. Data science can automate processes and make them significantly easier without that customers would have to disclose their business secrets. Contrary to the Web 2.0, where customers are supposed tovoluntarily disclose their data, cusy recommends leaving the data for the analysis with the customer and and evaluate it there. cusy supports companies infinding out how consolidate and merge customer data from a wide range of sources, combine product types and optimally evaluate the collected knowledge with text mining and sentiment analysis.

Forecasts

However, data science not only offers advanced solutions in customer management but also in order forecasting: fluctuating incoming orders and the heterogeneous delivery behaviour of individual suppliers make planning enormously difficult. Machine-learning models can recognise patterns in supplierbehaviour in order to make predictions about future incoming goods quantities. The better forecasts now allow not only better planning of staff and storage, but also a more intelligent control of suppliers, so that peaks in capacity utilisation can be anticipated in orders.

Logistics

When time is money, the reduction of workload is very tempting. cusy can supportyou in this with route optimisation, both in the dynamic route optimisation as well as last-mile scheduling.

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