best practices in forecasting

18
www.productcamp.org/toronto July 23, 2011 – Ted Rogers School of Management, Ryerson University Best Practices in Demand Forecasting CHARLES DIMOV [email protected] OR FIND ME ON LINKEDIN

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Demand Forecasting presentation - expressing the basics of how to approach it as a Product Marketing Manager, Product Manager, or Marketing Manager. Presented at ProductCamp 2011 in Toronto.

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Page 1: Best Practices In Forecasting

www.productcamp.org/toronto

July 23, 2011 – Ted Rogers School of Management, Ryerson University

Best Practices in Demand Forecasting

CHARLES DIMOV

CDIMOV@HOTMAIL .COMOR F IND ME ON L INKEDIN

Page 2: Best Practices In Forecasting

ProductCamp Toronto – July 23, 2011

Operate Efficiently & Effectively Companies must understand Supply & Demand constraints

Accurate Forecasts Prepare for resource needs Prepare for structural evolution Invest right amount of Capital at right time Win in Market!

Why?

Page 3: Best Practices In Forecasting

ProductCamp Toronto – July 23, 2011

OverSupply: Depreciating resources Obsolescence Overstaffing Excess Inventory Affects Price Drives Promo addiction Erodes Product Value Erodes Brand Value

Wrong Forecast

COGS ↑ Cash Flow Tied ROA ↓ GM ↓ Contribution Margin ↓ Acid Test Score ↓ Viability of Company ↓

Page 4: Best Practices In Forecasting

ProductCamp Toronto – July 23, 2011

UnderSupply: Product Shortages Lost Sales Price ↑ Brand Promise ↓ Bad PR Customer Confidence ↓ Months to recover in

Supply Chain

Wrong Forecast

Market Share ↓ Lost Revenue Opp. Earnings ↓ P/E (not optimal) Lost Market Position Competitor Wins

Page 5: Best Practices In Forecasting

ProductCamp Toronto – July 23, 2011

To Avoid This Forecast…

Image by: Iam Wahid (16Jul2009)

Page 6: Best Practices In Forecasting

ProductCamp Toronto – July 23, 2011

Historics

Analysis

Triangulate

EyeBall

Feedback

Forecast Approach

Page 7: Best Practices In Forecasting

ProductCamp Toronto – July 23, 2011

Whenever possible – use HISTORICAL DATA

For NPI – use closest HISTORICAL DATA

“Study History or be doomed to repeat it” Brother Loman Lavigne

First Principle

Time variability, and scale

Page 8: Best Practices In Forecasting

ProductCamp Toronto – July 23, 2011

Analysis: Seasonality

Trend

Cycle

Seasonality

1 Year

1 Economic Cycle

Page 9: Best Practices In Forecasting

ProductCamp Toronto – July 23, 2011

Excel / Systat / SPSS / SAS / MiniTab Descriptive Statistics to show boundaries

Analysis: Statistics

A

B

NOTE: Watch the STD Deviations

Page 10: Best Practices In Forecasting

ProductCamp Toronto – July 23, 2011

Many S/W Tools

Expert System chosen models

Lowest MAD (Mean Absolute Deviation)

Export to Excel

Can be a Dead Simple Process

Analysis: Forecast Tools

Page 11: Best Practices In Forecasting

ProductCamp Toronto – July 23, 2011

Forecast Pro $1,295 - $8,995 US www.forecastpro.com

Vanguard www.vanguardsw.com

DemandWorks Smoothie $500 - $6,000 US www.demandworks.com

SAS www.sas.com

Analysis: Forecast Tools

Page 12: Best Practices In Forecasting

ProductCamp Toronto – July 23, 2011

CrowdSourcing: “under the right circumstances, groups are remarkably intelligent, and are often smarter than the smartest people in them.” p.xi Introduction, Wisdom of Crowds, James Surowiecki.

Analysis: CrowdSourcing

???

Page 13: Best Practices In Forecasting

ProductCamp Toronto – July 23, 2011

No one model will be accurate every time

Forecasting is inexact Dark-Art / Science

Provides General Guidance on direction and magnitude

Triangulate

-Seasonality Est.-Forecast Tool Est.

-CrowdSource-Channel Est.-Sales Funnel-Supply Constraint

X

Page 14: Best Practices In Forecasting

ProductCamp Toronto – July 23, 2011

Product / Marketing Mgr Smarts / Heuristics

Eyeball

Major DM + Ad Campaign+ Promotional Offer

Version 2 Pre-Anounce will stall sales – B4 general availability

Page 15: Best Practices In Forecasting

ProductCamp Toronto – July 23, 2011

Product / Marketing Mgrs Pricing Model changes Promotional Offers Marketing Campaigns Discounting changes Brand effects Bankruptcies / New entrants Competitive Analysis Market Conditions Major Events Reduced Defects

Eyeball

New Channel Partners Distribution Model Disruptive Technology Chg Market Preference shift Manufacturing capacity Market Share expectations Global Events Economic Cycle effects Inventory Returns Other Factors

Page 16: Best Practices In Forecasting

ProductCamp Toronto – July 23, 2011

Every Quarter – check Forecasts vs Actuals

Focus = biggest deviation

Tweak Model

Do it again!

Feedback Loop

Page 17: Best Practices In Forecasting

ProductCamp Toronto – July 23, 2011

Summary

Historics

Analysis

Triangulate

EyeBall

Feedback

Image by: CobraSoft

Page 18: Best Practices In Forecasting

ProductCamp Toronto – July 23, 2011

Books: Not found a practical book

Websites: www.ibf.org(not s/w specific)(discussion forum)

Article: TPMA Focus 3Q11

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