Development: Forecasting of future products
R&D team is supported with facts what the customers want to receive from their side. Based on that model, the company is able to design new products according to their customer needs and expectations and also prioritize the best opportunities.
Marketing: Analysis of social networks
Analysis of social networks quantifies positive and negative reactions of the consumers through time. It enables fast and adequate responses in product and/or performance changes.
Determining what price to charge for a certain product or service can prove to be a difficult task, even more so if the organization's goal is to tailor the price to the level of an individual. The price optimization provides the price suggestions based on customer historical data and purchases.
Marketing: Demand forecasting
Machine learning approach gives the complex scenarios, allowing planners to do a much better job of forecasting difficult situations.
Sales: Market segmentation
Market segmentation is made perpetually on actual sales and other accessible data. Understanding of actual market segments enables segment predictive analytics and insight driven marketing actions.
Hidden needs, preferences and segment habits can be revealed.
Sales: Sales forecasting by products
Sales forecasting for individual products.
Sales: Churn forecasting
Probability of leaving is forecasted for each individual customer / subscriber. The early discovery of intention to leave enables possibility for an early reaction with bigger possibility of retainment. Direct and opportunity cost of recruitment of a new customer is saved.
Sales: Propensity to buy
Probability of serious intention of an individual customer or customer segment to buy certain product or service.
Purchase: Source planning (orders)
Optimal order placement based on contracted conditions on order quantity pricing, delivery times and inventory dynamics.
Purchase: Contract management
Identification of best possible supplier relationship interventions in aim of optimization of overall material or inbound service cost.
Production and services: Source and production planning
Planning of own and outsourced (production and service) capacity engagement with adequate material inflow in aim to respond to priority boundaries and JIT goals.
Production and services: Maintenance forecasting
Statistic and condition monitoring based forecasting of failures, breakdowns and other lifecycle interruptions and interventions of equipment enables controlled process interruptions and therefore higher overall reliability and efficiency.
Finance: Reducing working capital
Situation and forecast analysis revealing scenarios and identifying most effective actions to reduce working capital.
Finance: Risk management
Detection of actual risks and prediction of future risks based on company and surrounding financial data.
Human resource: Recruiting
Identification of proper candidates for a vacant workplace through accessible networks.
Human resource: On boarding
Recognition and delivery of most important knowledge and training deliverable by computer to a newcomer.
Human resource: Education and training
Detection and ranking of most necessary education and training for individual staff-members in aim of best company overall performance improvement.
Human resource: Success analysis
Trends of individual success are being analysed in aim to recognise the topics for each individual to improve or share with others.
Human resource: Retainment
Probability of leaving for each key person and/or other staff members. The early discovery of intention to leave enables possibility for an early reaction with bigger possibility of retainment. Direct and opportunity cost of recruitment and on boarding is saved.
Recommendation engines basically use algorithms and data to recommend the most relevant items to a particular individual client or customer segments.