Sales Cloud Forecasting for Shoe Sales

ACD

To help Cloud Kicks (CK) forecast the number of shoes it sells and coordinate with the logistics department, a consultant should recommend implementing the following three options:

A. Collaborative Forecasts: Collaborative Forecasts in Salesforce Sales Cloud enable the organization to forecast sales more accurately. It allows CK to collaborate with sales representatives, managers, and other stakeholders to gather input and insights into the sales forecast. By leveraging the historical data and input from the sales team, CK can generate accurate forecasts to plan for inventory, production, and logistics.

D. Forecast Types: Forecast Types in Sales Cloud allow CK to categorize and track different types of forecasts. By defining forecast types, CK can segment and forecast shoe sales based on various criteria such as product line, region, customer type, or any other relevant dimension. This helps CK to have a granular understanding of sales forecasts, enabling them to align logistics and inventory management accordingly.

E. Product Revenue Schedules: Product Revenue Schedules allow CK to define and manage revenue recognition for individual products. By associating revenue schedules with shoe products, CK can accurately track and forecast revenue related to shoe sales. This feature considers factors like revenue recognition over time, allowing CK to predict when revenue will be realized and effectively coordinate with the logistics department to fulfill orders.

Option B (A custom field) is not directly related to forecasting shoe sales and coordinating with logistics. Custom fields are used to capture additional data or specific information unique to the business needs. While custom fields can be useful for tracking specific shoe-related attributes, they are not essential for forecasting or logistics coordination in this scenario.

Option C (Opportunity Quantity) is already a standard field in Salesforce Sales Cloud. It represents the quantity associated with an opportunity, which can be used to track the number of shoes being sold. However, it alone does not provide the forecasting capability or coordination with logistics that CK requires.

Therefore, the recommended options are A (Collaborative Forecasts), D (Forecast Types), and E (Product Revenue Schedules). These features in Salesforce Sales Cloud will enable CK to forecast shoe sales accurately, segment forecasts based on different criteria, and manage revenue recognition for shoe products while coordinating with the logistics department.