How to incorporate out-of-stocks (OOS) in forecasting
We discuss the three top methods for incorporating out-of-stocks in demand forecasting and the relative pros and cons of each
Keep readingAlloy’s Planning application supports a comprehensive forecasting and demand planning process across every distribution channel and partner. Sitting on top of the Alloy Data Platform, users plan based on a foundation of pre-ingested, harmonized data and nine out-of-the-box forecast models.
Forecast and plan using integrated POS feeds and built-in forecast models, empowering your team to focus on driving your strategy instead of spending hours on manual tasks
Configure the Planning application to your business segments (e.g., Channel-Category, Retailer-SKU, etc.). Automatically integrate any changes into your overall demand plan.
Alloy lets you pick from a selection of models, including ARIMA, Ensemble, BSTS and more. You can also choose to use internal and partner forecasts.
Prevent inaccuracies caused by erratic retailer order patterns, black swan events, supply constraints, etc. More accurately forecast promotions by measuring historical sales lift from similar events and adding your expectations to the model.
Maintaining alignment internally is a versioning nightmare when you’re relying on spreadsheets. Alloy helps you overcome this obstacle with visibility into changes and plan accuracy over time.
Conduct strategic, integrated planning by converting POS demand into a single optimal shipment plan
Learn moreSimulate inventory risk across your supply chain network to anticipate, diagnose and respond to critical issues
Learn moreBreak down the silos separating your teams. Alloy is a single source of truth for supply and demand, allowing all teams to speak the same language and collaborate more effectively.
Plan and execute based on true demand. By capturing demand in real-time at the point of sale, Alloy’s out-of-the-box connectors strengthen your sales, supply chain and planning processes.
Empower everyone to make data-driven decisions in real time. Alloy eliminates the guesswork and data wrangling, so you can plan better, execute better and build a better feedback loop between the two.
We discuss the three top methods for incorporating out-of-stocks in demand forecasting and the relative pros and cons of each
Keep readingShifting from demand proxies to true demand helps manufacturers reduce out-of-stocks. So why do many continue to use sell-in, and what are the costs?
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