Scenario-based planning
Software that allows users to run simulations for different scenarios, based on changes in circumstances like level of demand, in order to plan for all likely outcomes.
Cat avg: 8
Software that allows users to run simulations for different scenarios, based on changes in circumstances like level of demand, in order to plan for all likely outcomes.
Cat avg: 8
Improving supply chain performance by aligning the plans and objectives of each partner in the supply chain (e.g. producers and transportation and logistics).
Cat avg: 8
Ability to use prior delivery data and information about current travel conditions to pick the most efficient route.
Cat avg: 7.9
Using price and inventory forecasting to optimize inventory stock levels.
Cat avg: 7.9
Ability to use past and current data on producers, suppliers, and international trade to predict what trends might impact supply in the future.
Cat avg: 7.6
Ability to allocate resources/materials across the supply chain in the most efficient way.
Cat avg: 7.8
Monitoring of company assets.
Cat avg: 8.3
Integrating the activities of different parties throughout the supply chain, and monitoring external and internal conditions that may affect the production of goods.
Software that allows users to run simulations for different scenarios, based on changes in circumstances like level of demand, in order to plan for all likely outcomes.
Category average: 8
Ability to allocate resources/materials across the supply chain in the most efficient way.
Category average: 7.8
Ability to use past and current data on producers, suppliers, and international trade to predict what trends might impact supply in the future.
Category average: 7.6
Ability to determine how much production capacity is needed to produce a specific product at scale to meet demand needs.
Category average: 7.7
Improving supply chain performance by aligning the plans and objectives of each partner in the supply chain (e.g. producers and transportation and logistics).
Category average: 8
Overseeing the activities of the purchasing department of the company.
Utilizing cost information to manage the sourcing of raw materials in the most cost effective way.
Category average: 7.7
Ability to run cost analysis and create reports.
Category average: 7.5
The activities surrounding the movement of goods from one manufacturing stage to the next and then onto the final consumer.
Ability to use prior delivery data and information about current travel conditions to pick the most efficient route.
Category average: 7.9
Monitoring and management of warehouse and inventory activities.
Ability to monitory inventory levels across one or multiple warehouses.
Category average: 8
Monitoring of company assets.
Category average: 8.3
Forecasting price changes and future inventory needs.
Category average: 8.1
Monitoring and reporting on market demand conditions.
Using current demand indicators (including supply chain data) to create a forecast of future demand.
Category average: 7.6
Similar to demand sensing, but draws on more historical data to create a forecast of future demand.
Category average: 7.9
Using price and inventory forecasting to optimize inventory stock levels.
Category average: 7.9
Ability to plan future sales and operations based off of current and historical data.
Category average: 7.9
Software that allows users to run simulations for different scenarios, based on changes in circumstances like level of demand, in order to plan for all likely outcomes.
Ability to allocate resources/materials across the supply chain in the most efficient way.
Ability to use past and current data on producers, suppliers, and international trade to predict what trends might impact supply in the future.
Ability to determine how much production capacity is needed to produce a specific product at scale to meet demand needs.
Improving supply chain performance by aligning the plans and objectives of each partner in the supply chain (e.g. producers and transportation and logistics).
Utilizing cost information to manage the sourcing of raw materials in the most cost effective way.
Ability to run cost analysis and create reports.
Ability to use prior delivery data and information about current travel conditions to pick the most efficient route.
Ability to monitory inventory levels across one or multiple warehouses.
Monitoring of company assets.
Forecasting price changes and future inventory needs.
Using current demand indicators (including supply chain data) to create a forecast of future demand.
Similar to demand sensing, but draws on more historical data to create a forecast of future demand.
Using price and inventory forecasting to optimize inventory stock levels.
Ability to plan future sales and operations based off of current and historical data.