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Title : A Day in a life of Demand Planner 1) Previous Day Data Checks - What ? Checks updated sales data, checks for orders, and any major deviations from the previous day’s forecast Why ? Early detection of anomalies; like a surprising sales spike 2) Forecast vs Actuals Analysis What ? Comparison of forecast vs actual sales for the past few days/periods to flag PLs with high error or bias Why ? Identifying which PLs deviate from forecasts helps to refine the models 3) Cross Functional Discussions What ? Sync with sales, marketing, and finance; especially if a new promotion is being planned Why ? Ensures the forecast incorporates real-time insights 4) Model Refinements What ? Updates forecasting models (exponential smoothing, machine learning/ML, etc.) and runs scenario planning for best/worst cases Why ? Refined models and scenario testing keep the forecast agile if market conditions shift suddenly 5) S&OP Prep What ? Compiles monthly forecast slides, focusing on high-level numbers, confidence intervals, and potential risks to share in the next S&OP meeting Why ? These insights guide supply planning, procurement, and finance decisions. Clear, concise presentations keep everyone aligned
This presentation outlines a demand planner's daily routine: checking previous day's data for anomalies, analyzing forecast vs. actuals to refine models, discussing with cross-functional teams, updati
The slide is titled "A Day in the Life of a Demand Planner" and serves as an introductory title slide. It features a subtitle that provides an overview of the role's daily tasks, ranging from data checks to preparation for Sales and Operations Planning (S&OP).
Overview of Daily Tasks from Data Checks to S&OP Preparation
The Daily Agenda slide outlines a structured routine for forecasting and sales analysis, starting with checks on previous day's data for anomalies like sales spikes and deviations from forecasts. It continues with comparing forecasts to actuals for model refinements, cross-functional discussions with teams on promotions, scenario planning for market shifts, and preparation of S&OP materials including risks and intervals to inform supply and finance decisions.
Checks updated sales data, orders, and deviations from forecasts for early anomaly detection like sales spikes.
Compares forecast to actual sales to flag products with high error or bias for model refinement.
Syncs with sales, marketing, and finance on promotions to incorporate real-time insights into forecasts.
Updates forecasting models and runs scenario planning to keep forecasts agile amid market shifts.
Compiles forecast slides with numbers, intervals, and risks to guide supply and finance decisions. Source: A Day in the Life of a Demand Planner
This section header slide introduces the first topic: "Previous Day Data Checks." It features a subtitle emphasizing the start of the day with essential data verification and anomaly detection.
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Starting the day with essential data verification and anomaly detection
The slide titled "What & Why" explains the demand planner's role in checking updated sales data, reviewing incoming orders, and spotting major deviations from the previous day's forecast to ensure accurate and timely planning. This process is essential for early anomaly detection, like sales spikes or drops, enabling proactive adjustments to uphold forecast reliability and quickly adapt to market shifts.
| What? | Why? |
|---|---|
| The demand planner checks updated sales data, reviews incoming orders, and identifies any major deviations from the previous day’s forecast to ensure accuracy and timeliness in planning. | This process enables early detection of anomalies, such as surprising sales spikes or drops, allowing for proactive adjustments to maintain forecast reliability and respond swiftly to market changes. |
This section header slide, titled "A Day in the Life of a Demand Planner," introduces Section 2 on Forecast vs Actuals Analysis. It focuses on comparing predictive forecasts with actual outcomes to pinpoint deviations and underlying biases in demand planning.
2
Comparing predictions with real results to identify deviations and biases
The slide analyzes forecast versus actual sales by comparing them for past days to identify product lines with significant errors or biases. This process highlights deviations to refine forecasting models, boosting their accuracy and reliability.
| What? | Why? |
|---|---|
| Compare forecast vs actual sales for past days to flag product lines (PLs) with high error or bias. | Identifies deviations between forecasts and actuals, enabling refinement of forecasting models for improved accuracy and reliability. |
This section header slide, titled "A Day in the Life of a Demand Planner," introduces Section 3 on Cross Functional Discussions. It highlights syncing with sales, marketing, and finance teams to gain real-time insights on promotions.
3
Syncing with sales, marketing, and finance for real-time promotion insights.
Cross-functional discussions involve syncing with sales, marketing, and finance teams to align on upcoming activities, particularly new promotions that may alter demand patterns and necessitate forecast adjustments. This approach ensures the forecast integrates real-time insights from these teams, enhancing its accuracy and adaptability to market shifts and promotional effects.
| What? | Why? |
|---|---|
| Sync with sales, marketing, and finance teams to align on upcoming activities, especially new promotions that could impact demand patterns and require forecast adjustments. | Ensures the forecast incorporates real-time insights from cross-functional teams, improving accuracy and responsiveness to market changes and promotional impacts. |
This section header slide introduces "Model Refinements" as the fourth part of the presentation. It focuses on updating forecasting models to enhance accuracy and support scenario planning amid evolving market conditions.
4
Updating forecasting models for accuracy and scenario planning in shifting markets
The slide titled "What & Why" explains that the tool updates forecasting models using techniques like exponential smoothing and machine learning, while also running scenario planning for best-case and worst-case outcomes to anticipate possibilities. This approach ensures refined models and scenario testing to maintain forecast agility, allowing quick adaptations to sudden market shifts or unexpected demand changes.
| What? | Why? |
|---|---|
| Updates forecasting models using exponential smoothing, machine learning (ML), and similar techniques. Runs scenario planning for best-case and worst-case outcomes to anticipate various possibilities. | Refined models and scenario testing maintain forecast agility, enabling quick adaptations to sudden market shifts or unexpected changes in demand patterns. |
This section header slide introduces the "S&OP Preparation" phase in a demand planner's daily routine, as the fifth segment. It highlights the key task of creating forecast slides for Sales and Operations Planning (S&OP) meetings, incorporating risks and confidence intervals.
05
Preparing forecast slides for S&OP meetings with risks and confidence intervals
The slide titled "What & Why" explains that the process involves compiling monthly forecast slides with high-level numbers, confidence intervals, and potential risks for the upcoming S&OP meeting. It highlights the purpose: providing insights to guide supply planning, procurement, and finance decisions while ensuring alignment through clear, concise presentations.
| What | Why |
|---|---|
| Compiles monthly forecast slides, focusing on high-level numbers, confidence intervals, and potential risks to share in the next S&OP meeting. | These insights guide supply planning, procurement, and finance decisions. Clear, concise presentations keep everyone aligned. |
The Key Takeaways slide outlines essential practices for effective demand planning, including daily data checks to catch anomalies early, analyzing forecast versus actuals to refine models, cross-functional discussions for real-time insights, updating models for agility, and preparing S&OP materials to align business decisions. It closes with a call to embrace proactive planning daily and apply these steps to boost forecasting precision and collaboration.
• Perform daily data checks to detect anomalies early
Closing: Embrace proactive demand planning daily.
Call to Action: Apply these steps to enhance forecasting precision and collaboration.
Source: A Day in the Life of a Demand Planner
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