The discount can be applied in case of cooperation for one month or more
Geniusee team will help you to make the most of the data you have. We provide a comprehensive data science consulting service allowing to achieve your business objectives through prediction and automation of regular processes. Our data science team will help you to increase revenue, maximize utility and reduce costs.
Deep learning is an aspect of artificial intelligence that is concerned with emulating the learning approach that human beings use to gain certain types of knowledge. At its simplest, deep learning can be thought of as a way to automate predictive analytics within your business.
Constrained optimization is a service for minimizing or maximizing some objective, subject to constraints. For example, we might want to purchase an assortment of merchandise that maximizes expected revenue, limited by a minimum number of different items to stock in each department.
Root Cause Analysis (RCA) is a structured step-by-step method for finding the real cause of a problem and responding to it. This is a process that helps stakeholders understand the causes of the problem sufficiently to achieve a full resolution.
Predictive models allow transforming your organization’s information into business insights and providing your key stakeholders with actionable data to power more efficient business decisions.
We will help you to set up an information management tool that visually tracks, analyzes and displays key performance indicators (KPI), metrics and key data points to monitor the health of a business, department or specific process.
With personalized product recommendations, you can engage more buyers and convert them into customers faster. Thus, you will increase your average order value as well as reduce workload and overhead for your salespeople. Also, data science can help you to select the right target audience during the marketing campaign.
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We will answer you as soon as we determine which of the team members is the most worthy to talk to you :)
CEO
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