Demand forecasting 

• Tools for preparing and cleaning data.

• Processes development for master data management. 

• Implementation of a solution for consensus planning and coordination of plans between key departments (sales, marketing, finance, procurement, production, logistics).

Product management

• New Product Introduction planning. 

• Promotion of actual brands and categories.

• The replacement of the current portfolio.

• Organization of withdrawal of products from the market (EOL).

Inventory management

• Determination of the target inventory levels of the logistic system.

• Formation of supply model for evenly and regularly consumed goods and materials.

• Optimization of the total cost of logistics.

• Shortening the material supply cycle.

• The normalization of reference materials for correct planning.

Purchase planning

• Development and updating of the demand plan.

• Formation of the procurement plan.

• Planning of  supply sources.

• Management of sourcing activities.

• Cross-cutting cost analysis.

• Supplier performance management.

Limit management

• Identification of factors that determine the extent of a chain's results and indication of potential bottlenecks. 

Integrated business planning (S&OP)

• Connection of company's business units into a single planning and forecasting model.

• Development of an integrated model to input of key assumptions and filling with actual data in a real time.

• Reflection of integrated model scenarios and historical data through storefront data in real time.

Multidimensional 

sales planning

• Support of balancing and conciliation to assure the unity of purpose and account of the departments' specifics.

• Support in drawing up a sales plan in the context of key dimensions and metrics of a particular business (regions, channels, brands, segments, managers, directions).

Scenario modeling

• Incorporate scenario modeling into current business processes to respond for changes and to increase participation and detail.

Produce planning

• Developing optimal plans for producing, load lines and shipping goods.

• Planning of capacities and resources at supply chain points, taking demand dynamics and supply chain constraints into account.

• Automatic generation of product lines work schedule. 

• Increasing the efficiency of the factory by using mathematical algorithms for schedule optimisation.

Optimization of production, warehouse and transport

• Planning and optimizing of product lines and warehouse.

• Development of balanced maps of SOE production.

• Optimization of staff working hours.

• Planning the needs for quantity and type of transport. 

• Optimization of volumes of purchased materials and supplies.