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Demand Planning

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Key Features

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𝐎𝐩𝐭𝐢𝐨𝐧𝐚𝐥 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐝 𝐁𝐨𝐭𝐭𝐨𝐦-𝐔𝐩 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠

Gain detailed insights with optional SKU-level forecasting integrated seamlessly into your planning process.

𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐇𝐢𝐬𝐭𝐨𝐫𝐲 𝐂𝐥𝐞𝐚𝐧𝐬𝐢𝐧𝐠

Ensure data accuracy with automated outlier detection and correction, eliminating inconsistencies in historical data.

𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐓𝐢𝐦𝐞 𝐒𝐞𝐫𝐢𝐞𝐬 𝐚𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬

Leverage a robust set of over 15 advanced algorithms, including machine learning techniques, to generate precise demand forecasts.

𝐄𝐱𝐜𝐞𝐩𝐭𝐢𝐨𝐧𝐬-𝐁𝐚𝐬𝐞𝐝 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠:

Focus on critical SKUs and exceptions, allowing planners to prioritize important items and allocate resources effectively.

𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭 𝐎𝐯𝐞𝐫𝐫𝐢𝐝𝐞 𝐰𝐢𝐭𝐡 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 𝐀𝐩𝐩𝐫𝐨𝐯𝐚𝐥

Enable manual adjustments to forecasts with managerial oversight, ensuring flexibility and control.

𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐯𝐞 𝐃𝐞𝐦𝐚𝐧𝐝 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠

Foster cross-functional collaboration among teams, breaking down silos and enabling holistic demand planning insights.

𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐑𝐨𝐨𝐭 𝐂𝐚𝐮𝐬𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬

Identify underlying factors driving demand fluctuations with automated root cause analysis, facilitating proactive decision-making.

𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭 𝐃𝐢𝐬𝐚𝐠𝐠𝐫𝐞𝐠𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐅𝐥𝐞𝐱𝐢𝐛𝐥𝐞 𝐆𝐫𝐚𝐧𝐮𝐥𝐚𝐫𝐢𝐭𝐲

Tailor forecasts to specific needs with flexible granularity and disaggregation options, accommodating diverse planning requirements.

𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐚𝐧𝐝 𝐄𝐱𝐭𝐞𝐫𝐧𝐚𝐥 𝐃𝐚𝐭𝐚𝐬𝐞𝐭 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧

Integrate internal enterprise data (e.g., promotions, festivals) and external data (e.g., weather, geopolitical events) to enrich forecasts and enhance accuracy.

𝐏𝐫𝐞𝐝𝐞𝐜𝐞𝐬𝐬𝐨𝐫-𝐒𝐮𝐜𝐜𝐞𝐬𝐬𝐨𝐫 𝐋𝐢𝐧𝐤𝐚𝐠𝐞

Leverage historical relationships between products to refine forecasting models and improve forecast accuracy.