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On Demand, 
Smarter, 
Disruptive! 
 Real time 
forecast 
 Latest Data 
Integrated 
 Self Optimizing 
Models 
Current Clients 
“ 
DemandPlanner 
Statistical engineering marvel: 
ensemble of algorithms to find 
the best model for a SKU-Store 
case every time 
With the help of SIBIA, we were able to drastically improve our 
ability to forecast sales for our clients. ” CEO, Timeforge, USA 
CEO, 
Timeforge, 
USA 
SIBIA Analytics and Consulting Services PL 
GE 148 Rajdanga Main Road, Kolkata 700107, India 
+91 33 4006 0882 +91 9007903737 
www.sibiaanalytics.com sibia@sibia.co.in 
 
How it maximizes forecasting accuracy: 
 by factoring in both internal (price, promotion) and external (season, events) impacts 
 Modeling for both observed (drivers of demand) and unobserved (hidden) variations 
PLAN YOUR REORDER POINT AND OPTIMAL 
QUANTITY WITH THE MOST ACCURATE 
DEMAND FORECASTING 
An US grocery 
retailer with 10K+ 
SKUs across 18 
categories 
A Canadian Retail 
Management 
Company with 200+ 
stores 
An US Retail 
Management 
Company with 2K + 
stores 
On demand system for forecasting 
daily demand for all SKUs across stores 
www.predictyoursales.com 
contact@predictyoursales.com 
cont 
With the help of SIBIA, we were able to drastically improve our 
ability to forecast sales for our clients. CEO, Timeforge, USA

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On Demand Forecasting with Self-Optimizing Models

  • 1. On Demand, Smarter, Disruptive!  Real time forecast  Latest Data Integrated  Self Optimizing Models Current Clients “ DemandPlanner Statistical engineering marvel: ensemble of algorithms to find the best model for a SKU-Store case every time With the help of SIBIA, we were able to drastically improve our ability to forecast sales for our clients. ” CEO, Timeforge, USA CEO, Timeforge, USA SIBIA Analytics and Consulting Services PL GE 148 Rajdanga Main Road, Kolkata 700107, India +91 33 4006 0882 +91 9007903737 www.sibiaanalytics.com sibia@sibia.co.in  How it maximizes forecasting accuracy:  by factoring in both internal (price, promotion) and external (season, events) impacts  Modeling for both observed (drivers of demand) and unobserved (hidden) variations PLAN YOUR REORDER POINT AND OPTIMAL QUANTITY WITH THE MOST ACCURATE DEMAND FORECASTING An US grocery retailer with 10K+ SKUs across 18 categories A Canadian Retail Management Company with 200+ stores An US Retail Management Company with 2K + stores On demand system for forecasting daily demand for all SKUs across stores www.predictyoursales.com contact@predictyoursales.com cont With the help of SIBIA, we were able to drastically improve our ability to forecast sales for our clients. CEO, Timeforge, USA