Logility Platform by Logility
The Logility Platform is an enterprise-grade, AI-powered suite for collaborative supply chain optimization and advanced retail planning. It leverages artificial intelligence and ma...
Farseer is a collaborative demand planning platform that uniquely blends top-down (macro-economic, strategic) and bottom-up (SKU-level, statistical) forecasting approaches. It incorporates AI and machine learning algorithms to enhance statistical forecasts, identify patterns, and automatically select the best models. The collaborative workspace allows sales, marketing, and finance teams to adjust forecasts based on market intelligence, with the system tracking all changes and assumptions. This hybrid methodology aims to produce more accurate, consensus-driven forecasts that reflect both data and human insight. Farseer is ideal for companies that have matured beyond basic statistical forecasting and want to incorporate collaborative insights into thei...
Farseer is ideal for companies that have matured beyond basic statistical forecasting and want to incorporate collaborative insights into their demand plans. It is well-suited for demand planners, sales operations managers, and brand managers in consumer goods, retail, and manufacturing industries where both data science and market knowledge are critical.
Farseer's innovative blending of AI-powered statistics with structured collaboration is its defining strength. It effectively bridges the often-contentious gap between the 'quantitative' forecast and the 'qualitative' overlay. For organizations seeking to harness the collective intelligence of their commercial teams within a disciplined forecasting process, Farseer offers a sophisticated and effective solution.
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Farseer is ideal for companies that have matured beyond basic statistical forecasting and want to incorporate collaborative insights into their demand plans. It is well-suited for demand planners, sales operations managers, and brand managers in consumer goods, retail, and manufacturing industries where both data science and market knowledge are critical.
These are common features buyers compare in Demand Planning Software. Product-specific availability should be confirmed with the vendor.
Forecast and adjust production or resource capacity based on market demand shifts.
The use of visual elements like charts and graphs to represent complex data sets.
Predict future customer demand using historical data and situational modeling.
Generate insights based on longitudinal data tracked over extended periods.
Monitor inventory levels to trigger timely product restocking and purchasing.
Utilize historical data trends to forecast future outcomes and behaviors.
Plan the strategic launch of new products, from development to market entry, for optimal success.
Create and deploy promotional incentives to drive engagement and specific user actions.
Model various future scenarios to assess potential risks and strategic opportunities.
Visualize long-term objectives and map out the necessary steps to reach them.
Manages the end-to-end supply chain from raw material sourcing to final delivery.
Utilize interactive charts and graphs to perform deep-dive analysis into complex data sets.
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