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Business Situation:
Client’s 70% to 80% of daily beverage production depends on empty bottle returns from previous day. As such, a highly accurate forecast
for daily bottle returns across all SKU’s was required for optimal production planning.
The Task:
Design, develop and implement a predictive model that will help in forecasting daily empty bottle returns for 10 different SKUs.
Analytical Framework:
Data preparation for model building. Past sales data or production data didn't have much effect on the returns data and thus past 2 years
return data was used for the model building. Different models like ARIMA, Holt Winters, Year on Year growth model were built to forecast the
returns.
The Result:
• For all the SKUs considered, an accuracy of 75% was achieved for May-June 2011. This was significantly better than existing forecasts.
• For the SKU which contributed to 47% of the total returns, an accuracy of 92% was achieved for May-June 2011. The monthly accuracy for
May2011 being 85% and June 2011 being 97%.
Analytics in Action
Towards Better Production Planning by Accurate Forecasting
Client: A Leading Carbonated Beverage Manufacturer
Defining
Modelling
universe
Model
development
Validation
Past 2 years empty bottle returns data was
considered. The data was too volatile to fit
into the model and thus Centralized
Moving Averages was calculated to
smoothen the data and to get a better
model fit.
ARIMA model was built on Centralised
moving averages , Holt winters and Year on
Year growth rate models was built on
empty bottle returns. Bootstrapping
method was applied to choose best
forecast value.
May and June forecasts were compared
against actuals. Accuracy was calculated at
a daily-level for all SKU’s
-
5,000
10,000
15,000
20,000
25,000
30,000
5/1/2009
5/23/2009
6/14/2009
7/6/2009
7/28/2009
8/19/2009
9/10/2009
10/2/2009
10/24/2009
11/15/2009
12/7/2009
12/29/2009
1/20/2010
2/11/2010
3/5/2010
3/27/2010
4/18/2010
5/10/2010
6/1/2010
6/23/2010
7/15/2010
8/6/2010
8/28/2010
9/19/2010
10/11/2010
11/2/2010
11/24/2010
12/16/2010
1/7/2011
1/29/2011
2/20/2011
3/14/2011
4/5/2011
4/27/2011
5/19/2011
6/10/2011
2009
Dailyreturns
Actuals
Forecasts
Model Build on 2009 and 2010 data Model Application for May-June11
2009 2010 2011
-
5,000
10,000
15,000
20,000
25,000
30,000
35,000
1-May-11
3-May-11
5-May-11
7-May-11
9-May-11
11-May-11
13-May-11
15-May-11
17-May-11
19-May-11
21-May-11
23-May-11
25-May-11
27-May-11
29-May-11
31-May-11
2-Jun-11
4-Jun-11
6-Jun-11
8-Jun-11
10-Jun-11
12-Jun-11
14-Jun-11
16-Jun-11
18-Jun-11
20-Jun-11
22-Jun-11
24-Jun-11
26-Jun-11
28-Jun-11
30-Jun-11
DailyReturns
Actuals
Forecast
YOUR PARTNER FOR
DATA ANALYTICS SERVICES
MANAGEMENT TEAM
GLOBAL EXPERIENCE.
PROVEN RESULTS.
Roy K. Cherian
CEO
Roy has over 20 years of rich experience in marketing, advertising and media
in organizations like Nestle India, United Breweries, FCB and Feedback
Ventures. He holds an MBA from IIM Ahmedabad.
Anunay Gupta, PhD
COO & Head of Analytics
Anunay has over 15 years of experience, with a significant portion focused
on Analytics in Consumer Finance. In his last assignment at Citigroup, he was
responsible for all Decision Management functions for the US Cards
portfolio of Citigroup, covering approx $150B in assets. Anunay holds an
MBA in Finance from NYU Stern School of Business.
Greg Ferdinand
EVP, Business Development
Greg has over 20 years of experience in global marketing, strategic planning,
business development and analytics at Dell, Capital One and AT&T. He has
successfully developed and embedded analytic-driven programs into a
variety of go-to-market, customer and operational functions. Greg holds an
MBA from NYU Stern School of Business.
Kakul Paul
Business Head, CPG
Kakul has over 6 years of experience within the CPG industry. She was
previously part of the Analytics practice as WNS, leading analytic initiatives
for top Fortune 50 clients globally. She has extensive experience in what
drives Consumer purchase behavior, market mix modeling, pricing &
promotion analytics, etc. Kakul has an MBA from IIM Ahmedabad.
ADVANCED ANALYTICAL SOLUTIONS
MARKETELLIGENT, INC.
80 Broad Street, 5th Floor, New York, NY 10004
1.212.837.7827 (o) 1.208.439.5551 (fax) info@marketelligent.com
CONTACT www.marketelligent.com
Industry Business Focus Tools and Techniques
Consumer Finance Investment Optimization SAS, SPSS, R, VBA
Credit Cards Revenue Maximization Cluster analysis
Loans and Mortgages Cost and Process Efficiencies Factor analysis
Retail Banking & Insurance Forecasting Conjoint analysis
Wealth Management Predictive Modeling Perceptual maps
Consumer Goods and Retail Risk Management Neural Networks
CPG & Retail Pricing Optimization Chaid / CART
Consumer Durables Customer Segmentation Genetic Algorithms
Manufacturing and Supply Chain Supply Chain Management Support Vector Machines
High Tech OEM’s Sentiment Analysis
Automotive
Logistics & Distribution

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Analytics in Action - How Marketelligent helped a Beverage Manufacturer better its Production Planning

  • 1. Business Situation: Client’s 70% to 80% of daily beverage production depends on empty bottle returns from previous day. As such, a highly accurate forecast for daily bottle returns across all SKU’s was required for optimal production planning. The Task: Design, develop and implement a predictive model that will help in forecasting daily empty bottle returns for 10 different SKUs. Analytical Framework: Data preparation for model building. Past sales data or production data didn't have much effect on the returns data and thus past 2 years return data was used for the model building. Different models like ARIMA, Holt Winters, Year on Year growth model were built to forecast the returns. The Result: • For all the SKUs considered, an accuracy of 75% was achieved for May-June 2011. This was significantly better than existing forecasts. • For the SKU which contributed to 47% of the total returns, an accuracy of 92% was achieved for May-June 2011. The monthly accuracy for May2011 being 85% and June 2011 being 97%. Analytics in Action Towards Better Production Planning by Accurate Forecasting Client: A Leading Carbonated Beverage Manufacturer Defining Modelling universe Model development Validation Past 2 years empty bottle returns data was considered. The data was too volatile to fit into the model and thus Centralized Moving Averages was calculated to smoothen the data and to get a better model fit. ARIMA model was built on Centralised moving averages , Holt winters and Year on Year growth rate models was built on empty bottle returns. Bootstrapping method was applied to choose best forecast value. May and June forecasts were compared against actuals. Accuracy was calculated at a daily-level for all SKU’s - 5,000 10,000 15,000 20,000 25,000 30,000 5/1/2009 5/23/2009 6/14/2009 7/6/2009 7/28/2009 8/19/2009 9/10/2009 10/2/2009 10/24/2009 11/15/2009 12/7/2009 12/29/2009 1/20/2010 2/11/2010 3/5/2010 3/27/2010 4/18/2010 5/10/2010 6/1/2010 6/23/2010 7/15/2010 8/6/2010 8/28/2010 9/19/2010 10/11/2010 11/2/2010 11/24/2010 12/16/2010 1/7/2011 1/29/2011 2/20/2011 3/14/2011 4/5/2011 4/27/2011 5/19/2011 6/10/2011 2009 Dailyreturns Actuals Forecasts Model Build on 2009 and 2010 data Model Application for May-June11 2009 2010 2011 - 5,000 10,000 15,000 20,000 25,000 30,000 35,000 1-May-11 3-May-11 5-May-11 7-May-11 9-May-11 11-May-11 13-May-11 15-May-11 17-May-11 19-May-11 21-May-11 23-May-11 25-May-11 27-May-11 29-May-11 31-May-11 2-Jun-11 4-Jun-11 6-Jun-11 8-Jun-11 10-Jun-11 12-Jun-11 14-Jun-11 16-Jun-11 18-Jun-11 20-Jun-11 22-Jun-11 24-Jun-11 26-Jun-11 28-Jun-11 30-Jun-11 DailyReturns Actuals Forecast
  • 2. YOUR PARTNER FOR DATA ANALYTICS SERVICES MANAGEMENT TEAM GLOBAL EXPERIENCE. PROVEN RESULTS. Roy K. Cherian CEO Roy has over 20 years of rich experience in marketing, advertising and media in organizations like Nestle India, United Breweries, FCB and Feedback Ventures. He holds an MBA from IIM Ahmedabad. Anunay Gupta, PhD COO & Head of Analytics Anunay has over 15 years of experience, with a significant portion focused on Analytics in Consumer Finance. In his last assignment at Citigroup, he was responsible for all Decision Management functions for the US Cards portfolio of Citigroup, covering approx $150B in assets. Anunay holds an MBA in Finance from NYU Stern School of Business. Greg Ferdinand EVP, Business Development Greg has over 20 years of experience in global marketing, strategic planning, business development and analytics at Dell, Capital One and AT&T. He has successfully developed and embedded analytic-driven programs into a variety of go-to-market, customer and operational functions. Greg holds an MBA from NYU Stern School of Business. Kakul Paul Business Head, CPG Kakul has over 6 years of experience within the CPG industry. She was previously part of the Analytics practice as WNS, leading analytic initiatives for top Fortune 50 clients globally. She has extensive experience in what drives Consumer purchase behavior, market mix modeling, pricing & promotion analytics, etc. Kakul has an MBA from IIM Ahmedabad. ADVANCED ANALYTICAL SOLUTIONS MARKETELLIGENT, INC. 80 Broad Street, 5th Floor, New York, NY 10004 1.212.837.7827 (o) 1.208.439.5551 (fax) info@marketelligent.com CONTACT www.marketelligent.com Industry Business Focus Tools and Techniques Consumer Finance Investment Optimization SAS, SPSS, R, VBA Credit Cards Revenue Maximization Cluster analysis Loans and Mortgages Cost and Process Efficiencies Factor analysis Retail Banking & Insurance Forecasting Conjoint analysis Wealth Management Predictive Modeling Perceptual maps Consumer Goods and Retail Risk Management Neural Networks CPG & Retail Pricing Optimization Chaid / CART Consumer Durables Customer Segmentation Genetic Algorithms Manufacturing and Supply Chain Supply Chain Management Support Vector Machines High Tech OEM’s Sentiment Analysis Automotive Logistics & Distribution