Valtitude / Demand Planning Net (@planningnet) header
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Valtitude is a strategy and solutions consulting firm that provides usable solutions in Demand Planning, Replenishment Planning and Supply Chain Optimization.

Boston, MA
Joined April 2009
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General Bad Practice in Forecasting: #Forecasting_the_pattern_not_the_cause. Actual Worst Practice in SAP implementations: Removing all events from historical data and making it flat to produce a smoothed forecast!! Ask yourself: is your forecast capturing demand?
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Future events that planners know are coming have no mathematical pathway into the forecast. That's not forecasting. That's hiding information signals under a smooth blanket!
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Here's what actually happens: 🔸 Recurring events — promotions, trade fairs, holiday surges — get absorbed into baseline seasonality. The lift becomes invisible. 🔸 One-off events with no historical precedent get flagged as outliers and stripped from history entirely. 🔸
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📊In SAP IBP, too many planners still default to exponential smoothing as their workhorse model. It's fast, it's familiar, and it's quietly distorting your demand signal.
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Chronos-2 performed exceedingly well using the well-published Airline Passsenger dataset. It performed better than the commercially available best-in-class forecasting software. However this has been much researched and archived dataset on the internet. #chronos #forecasting
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🔷Free on Azure Cloud. No trial. No catch. The PlanVida Segmentation App is live — ABC-XYZ analysis in seconds. Load your data → get insights → plan smarter. Built for real planners📊 bit.ly/425PnB7 #SupplyChain #InventoryManagement #ABCAnalysis #Planvida #Azure
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Forecasting has come a long way. Classical → ML → Neural Networks → Foundation Models (Chronos, TimesFM, TimeGPT) All in one place — Planvida 2.0 Demand Cloud. More coming in v2.1! Grab a free trial lnkd.in/exwrEMe #Forecasting #SupplyChainPlanning #Analytics #IBP
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In a previous post I had illustrated how Chronos 2 outperformed the standard Box Jenkins and Holt Winters forecasts from Python as well a the forecasts from a popular Commercial time series forecasting package.
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Load your data. Set up the threshold parameters - #Volume_threshold #CV #volatility.. Click a Button and voila! You can download the results in an instant. No spreadsheets. No guesswork. Just results! 🔗 Search "PlanVida Segmentation" on Microsoft AppSource - link in comments.
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Valtitude has officially launched the Segmentation App Our app also easily flags demand variability, short history and obsolete items. The results tructure everything around your business hierarchy, not a generic template.
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#Planvida_Segmentation_Complementary 🚀 It's official! PlanVida Segmentation App is now LIVE on the Microsoft Marketplace. We built this for every supply chain team spending days on manual segmentation work that should take just a few minutes.
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What is the role of Ai in Forecasting? Will Ai be replacing the Forecasting Software and make them redundant and worthless? Stretching it further, will Ai also make Forecasters and Demand Planners obsolete?
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What is S&OP, and why do so many organizations struggle to make it work effectively? Is it just a monthly meeting or a critical business process that aligns strategy, demand, supply, and financial outcomes? Enroll here bit.ly/4t9sEAA to learn more about S&OP. #sop
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#Is your inventory based on guesswork or science? Typical supply chains don't lack data—they lack clarity. Between overstocks and shortages, most teams are stuck in ‘firefighting’ mode. Why IO is a Gamechanger???? Read more at bit.ly/4bgqmHC #SupplyChain #SAPIBP
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Our 3-day workshop will demonstrate how to identify, measure, and manage demand components within a structured demand planning process. Read more at bit.ly/4t9sEAA A missed opportunity today becomes tomorrow’s regret, so secure your seat today. #demandplanningworkshop
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Machine Learning is increasingly used in demand planning but understanding how it works and when it adds value can feel unclear. Our workshop is designed to bridge that gap. Enroll here bit.ly/4t9sEAA #demandplanningworkshop #sop #machinelearning #supplyplanning
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Attend our workshop to dig through the concept of “True Demand” and examine the critical differences between Orders, Shipments, and Point of Sales data. Read more at bit.ly/4t9sEAA #demandplanningworkshop #sop #truedemand #demandplanningchallenges
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Machine Learning methods to forecast Time-series data - the pitfalls and challenges. Learn how to ensemble this with other relatively simple techniques to produce a superior forecast. Watch the full video youtube.com/watch?v=331PIvrl… #ML #machinelearning #forecast #demandplanning
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What strategies do you employ to forecast products with intermittent demand? Join our Demand Planning for S&OP workshop to explore effective strategies for forecasting intermittent demand. Read more at bit.ly/4t9sEAA #demandplanningworkshop #sop #intermittentdemand
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Machine Learning is no longer a future concept! Our workshop is designed to introduce how Machine Learning enhances demand planning by leveraging large, complex datasets to improve forecast accuracy. Read more at bit.ly/4t9sEAA #DemandPlanningworkshop #Forecasting
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