Supply Chain and Order Management Analytics

One of the fastest-growing prestige beauty companies in the U.S. and a leader in sales and consumer awareness in mineral-based cosmetics needed visibility into sales data in order to improve forecast accuracy, perform better planning and manage stock levels in an optimal manner.

However, providing this information was becoming a challenge for the client owing to reasons such as:

  • The data required for reporting was sourced manually/paper-based from 200+ stores and hence it took a long time to generate reports
  • The data lacked consistency and accuracy
  • The existing reports lacked flexibility and were not easily adaptable to the business requirements

Hence, the client decided to implement an analytics solution to automate the process and provide the required visibility of sales data to its users.

 

DiLytics implemented Oracle Supply Chain and Order Management Analytics on the 7.9.6.4 release of Oracle BI Apps and delivered reports and dashboards. And carried out the following activities:

  • Requirements review and analysis
  • Fit-Gap analysis
  • Design ETL, EDW and OBIEE
  • Build ETL, EDW and OBIEE
  • Conduct Conference Room Pilot
  • Perform System Testing
  • Execute UAT
  • Deploy and go-live

DiLytics key business benefits to the client included

  • Superior insight into store sales performance
  • Determine patterns in customers’ behavior
  • Improved end-customer’s perception via ease in the determination of patterns in customer’s behavior.

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