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Oracle PBCS Sales driver for retail Business


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This document provides detail about how to setup up Sales Driver for retail business

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Oracle PBCS Sales driver for retail Business

  1. 1. Version History Version Date (dd / mmm / yyyy) Modification Author 0.1 04 / July / 2019 Initial document Amit Sharma
  2. 2. Overview Planning and Budgeting in Retail Business In most retail organizations, budgeting and planning is often very time taken and ineffective process due to disparity of data elements. Data is spread across different departments and strategic decision making requires alignment between operational and strategic plan. Each department completes its own bottom-up initiative his makes it difficult for the business to keep pace with changing consumer needs, trends, and shifts in the marketplace. Large retail organizations struggle with there is too much data, too many reports, too many systems, and too much complexity. At the end of the day, it adds up to a vote of no confidence—in the systems, in the reports, in the data, and ultimately, in the decisions. Oracle PBCS Designed for INDUSTRY BEST PRACTICES Spread sheet based planning may be handy tool for small scale retail business however as business grows Excel based solution does not fit into complex planning and business requirements. Too many versions of too many templates mean too many spreadsheets. It leads to lack of “real” system—no checks and balances, no audit trails, and no workflow processes. Oracle PBCS purpose-built cloud based applications allow them to accurately plan and replan quickly, using the same or fewer resources than Excel based Planning and Budgeting solution. Streamlining the planning process demands technology that can support a faster, more flexible and adaptive approach. By using on-demand, dedicated planning, budgeting, and forecasting that is delivered over the Web, organizations can readily implement best practices. Define Sales drivers and assumptions in Outline The first step is to identify key drivers which is to be used for Sales projection, forecasting and planning. By changing these driver values multiple scenarios can be created. This leads to the planner to adjust driver values and identify BEST fit model.
  3. 3. Planning Outline Structure. Sales Call Formula. Sales Calls IF (@ISMBR("Plan") AND @ISMBR(&NextYear)) "Units"->"Total Products"->"YearTotal" / "Avg Order Size" / "Close Rate" * "Travel %"; ELSEIF (@ISMBR("Forecast") AND @ISMBR(&NextYear)) "Units"->" Total Products"->"Rolling" / "Avg Order Size" / "Close Rate" * "Travel %"; ENDIF
  4. 4. Average order value is a critical metric for all data-driven businesses to keep track of if they want to scale their profits and revenue growth. Knowing the average dollar spend of each order placed across your business channels can help you plan pricing and marketing strategies to then increase that value — which can significantly impact your bottom line. Sales Calls IF (@ISMBR("Plan") AND @ISMBR(&NextYear)) “Revenue” "->"YearTotal"/”No_of_Orders”; ELSEIF (@ISMBR("Forecast") AND @ISMBR(&NextYear)) “Revenue”->"Rolling"/”No_of_Orders”; ENDIF