By Dr. Chockalingam|2026-09-01T09:27:04+00:00September 1st, 2026|Categories: Blog|Tags: Demand Planning, Equal Split Forecasting, Forecast Accuracy, S&OP, SAP IBP, Supply Chain Planning|
Why Equal Split Forecasting Quietly Hurts Your Supply Plan? A pattern one sees often in planning implementations: the monthly forecast gets disaggregated to weeks using an equal split. 400 units in the month? That becomes 100 / 100 / [...]
By Dr. Chockalingam|2026-08-27T10:42:35+00:00August 27th, 2026|Categories: Blog|Tags: Demand Planning, Forecast Accuracy, S&OP, SAP IBP, Supply Chain Planning|
𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝗯𝘆 𝗲𝘅𝗰𝗲𝗽𝘁𝗶𝗼𝗻.... Segmentation goes beyond mere Pareto analysis; it requires a consensus-driven process with buy-in from both Sales and Supply Planning. The 80/20 rule is handy, but only focusing on top sellers can miss risky, unpredictable SKUs that [...]
By Dr. Chockalingam|2026-08-27T10:34:28+00:00August 21st, 2026|Categories: Blog|Tags: Demand Planning, Forecast Accuracy, S&OP, SAP IBP, Supply Chain Planning|
📊 Planners often master the 𝘮𝘦𝘤𝘩𝘢𝘯𝘪𝘤𝘴 of the system - any system but rarely invest enough time in learning the 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗻𝘂𝗮𝗻𝗰𝗲𝘀 behind it. 💡 Planning isn't just clicking buttons. It's about uncovering the organizational and market events that [...]
By Dr. Chockalingam|2026-08-14T15:22:39+00:00August 14th, 2026|Categories: Blog|Tags: AI planning platform, Demand Planning, IBP, Inventory Optimization, S&OP, Supply Chain AI, Supply Chain Planning|
PlanVida 2.0 Most planning platforms do one layer well — forecasting, or inventory, or S&OP, and leave the rest to spreadsheets and workarounds. PlanVida 2.0 takes a different approach: one system spanning S&OE, S&OP, IBP, and executive decision-making. What's [...]
By Dr. Chockalingam|2026-08-12T11:38:46+00:00August 12th, 2026|Categories: Blog|Tags: CPFR, CPG Demand Planning, Demand Planning Maturity, Forecast Accuracy, Forecasting, IBP, POS, Retail Analytics, S&OP, Supply Chain, Supply Chain Planning|
POS-Based Demand Forecasting: Why CPG Companies Must Flip from Shipments to Sell-Through 🚚 Most CPG demand planning models may not be forecasting the right signal. We build sophisticated statistical and ML models on outbound shipments - what left our [...]
By Dr. Chockalingam|2026-07-31T16:04:59+00:00July 15th, 2026|Categories: Blog|Tags: Executive Planning, IBP vs SOP, Integrated Business Planning, SOP Maturity, Supply Chain Governance|
IBP vs S&OP: Why They Are Not Two Different Processes There is a number of visuals and infomercials making the rounds in LinkedIn praising the glories of IBP - the Integrated Business Planning process and why this is distinctly [...]
By Dr. Chockalingam|2026-07-30T11:16:49+00:00June 19th, 2026|Categories: Blog|Tags: Causal Event Forecasting, Demand Signal, Event Modeling, Forecast Accuracy, SAP IBP|
Forecasting the Pattern, Not the Cause: Why Smoothing Over Events Distorts Your Demand Signal 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 [...]
By Dr. Chockalingam|2026-07-30T11:31:43+00:00June 12th, 2026|Categories: Blog|Tags: IBP Governance, Planning Model Configuration, SAP IBP Consulting, SAPIBP, Supply Chain Planning|
Turning Supply Chain Blueprints into Reality: SAP IBP Consulting from the Ground Up At Valtitude, we help organizations unlock the full power of SAP IBP — from the ground up. Brownfield or Greenfield, we level the playing field for [...]
By Dr. Chockalingam|2026-07-30T11:40:50+00:00June 12th, 2026|Categories: Blog|Tags: CPG, Demand Planning, IBP, Inventory Optimization, S&OP, SAP Consulting, SAP IBP, SCM, Supply Chain, Valtitude|
Worst Practices Supply Chain Planning: Equal-Split Weekly Disaggregation That Erases Real Demand Patterns 📉 Equal-split forecasts in SAP IBP: convenient, but is it costing you? 🤔 A pattern I see often in IBP implementations: the monthly forecast gets disaggregated [...]
By Dr. Chockalingam|2026-07-30T12:05:20+00:00June 11th, 2026|Categories: Blog|
Forecasting Worst Practice #8: Ghost Demand from Discontinued Products That Never Leave the System This worst practice is not just in SAP IBP. This is common across many systems. Forecast accuracy gets scrutiny. Master data accuracy deserves the same. [...]
By Dr. Chockalingam|2026-06-11T13:53:24+00:00June 11th, 2026|Categories: Blog|
SAP IBP Worst Practice #7: Planning with Average Lead Times That Never Get Updated 🚨 STOP planning supply with average lead times! You're lying to your own planning system. And it's costing you. Here's the scenario I have seen [...]
By Dr. Chockalingam|2026-06-11T13:47:30+00:00June 11th, 2026|Categories: Blog|
SAP IBP Worst Practice #6: The PLM Weighting Trap That Wrecks Your Forecast Product Lifecycle Management (PLM) in SAP IBP (and APO) is supposed to be your secret weapon for phase-in / phase-out modeling and #analog forecasting. Instead, it's [...]
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