IBM DemandTec Price Optimization Rules Pricing

Digi Academy
A Milano

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Informazione importanti

  • Corso
  • Milano
Descrizione

Obiettivi  

Informazione importanti
Sedi

Dove e quando

Inizio Luogo
Consultare
Milano
Via Valtellina, 63, 20124, Milano, Italia
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· Requisiti

Prerequisiti

You should:

  • Have some experience using web browsers, the internet and Microsoft Windows operating systems
  • Be able to navigate a GUI environment
  • Have experience working with spreadsheets and reports.

As you work through the concepts and tasks, it is assumed that you are familiar with Microsoft Excel; although this will not be a blocking issue to learning.

Programma

Contenuti del corso

This hands-on course teaches you to use rules, prepare what-if scenarios and analyze results in the Price Management solution.

Contenuti dettagliati del corso

  • The benefits of the Price solution
  • Review pre-scenario data for anomalies in Reporting
  • Pre-price and Price-lock products that should not change during rules pricing
  • Product Status and which products will be included in the pricing action
  • Creation of data to support Price Scenarios rules such as, but not limited to, Size Families/Classes, Brand Families/Classes, and Other Families/Classes
  • Creation of Product and Store Groups for rules and CPIs
  • Creation and calculation of non-weighted CPIs
  • Creation of Rule and Category Groups
  • Import and Export data into and from the Price Optimization solution
  • The use of rules to support category strategies and which rules are omitted from Rules Pricing scenarios
  • Creation of scenarios and adding rules strategically
  • Running ´´what-if´´ scenarios to compare the projected financial implications of various pricing strategies
  • Balance scenario financial results
  • Review summary-level optimized prices using Scenario Summary and Compare Scenario features
  • Review Scenario Results reports and Compare Scenario Details functionality
  • Use the PRA and Product Analyzer to answer price change questions
  • Research price change causals
  • Investigate Rules Relaxations using the rule relaxation methodology
  • Override prices and reforecast benefits
  • Approve and send prices to stores


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