Nike

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Nike case – precautions required while IT implementation Strategy To reduce manufacturing life cycle from 9 months to 6 months To integrate i2, ERP and CRM into a single platform Converting the model from make-to-sell to make-to-order, which will be a competitive advantage Crystal ball algorithm will be used to predict the demand planning of the products Nike’s demand is a mixture of art and technology Reasons for failure Nike decided to install i2 while it was still using legacy systems It took more than a minute for a single data entry to be recorded in i2 from legacy systems Due to which heavy customization was done. Because of overwhelming data, the system frequently crashed i2 used different business rules and stored data in different formats, unable to integrate with ERP Tactical or strategic Nike believed it’s a tactical problem as i2 was too slow, didn’t integrate too well, had bugs and the planners were trained inadequately Companies were trying to do consensus planning rather than demand planning Sharing information faster and more accurately along the distribution channels to know better about demand

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nike

Transcript of Nike

Role of Technology in Indian Politics

Nike case precautions required while IT implementationStrategyTo reduce manufacturing life cycle from 9 months to 6 monthsTo integrate i2, ERP and CRM into a single platformConverting the model from make-to-sell to make-to-order, which will be a competitive advantageCrystal ball algorithm will be used to predict the demand planning of the productsNikes demand is a mixture of art and technology

Reasons for failureNike decided to install i2 while it was still using legacy systemsIt took more than a minute for a single data entry to be recorded in i2 from legacy systemsDue to which heavy customization was done. Because of overwhelming data, the system frequently crashedi2 used different business rules and stored data in different formats, unable to integrate with ERPTactical or strategicNike believed its a tactical problem as i2 was too slow, didnt integrate too well, had bugs and the planners were trained inadequatelyCompanies were trying to do consensus planning rather than demand planningSharing information faster and more accurately along the distribution channels to know better about demand