Available with: Copilot for Microsoft 365
Finance scenario: Intelligent sales forecasting
Scenario
Using Copilot for intelligent sales forecasting
Sales forecasting requires extensive data analysis and Copilot can help with assistance writing code for queries and getting assistance with Excel formulas and charts.
Aggregate historical sales data into an Excel spreadsheet, then use Copilot for guidance on how to standardize the data formatting.

Copilot in Excel
Example prompt: Suggest formulas to standardize the data formatting, including removing trailing spaces and correcting capitalization.
Use Copilot in Excel to create new datasets for the analysis.

Copilot in Excel
Example prompt: Add columns to create a 12-month rolling average.
Use Analyst to ask specific questions about the data.

Copilot Studio Agent
Example prompt: What are my top 3 product categories, by revenue, over the last 3 years?
Use Analyst to forecast annual sales.

Copilot Studio Agent
Example prompt: Forecast revenue by category for the next two years, with historic data in a single chart.
Evaluate the forecast output and adjust the forecast model if needed.

Copilot Studio Agent
Action: Adjust the Python code in the workbook to refine and rerun the forecast as needed.
Create a summary of the forecast and share the results with the team.

Copilot Studio Agent
Example prompt: Create a summary of the forecast highlighting the top three product categories.
1Access Microsoft 365 Copilot Chat at m365copilot.com, or the Microsoft 365 Copilot Chat mobile app and set toggle to “Web”.
2Access Microsoft 365 Copilot Chat at m365copilot.com, the Microsoft 365 Copilot Chat mobile app, or the Microsoft 365 Copilot Chat app in Teams, and set toggle to “Work”.
3AI Agents allow Copilot to access your organization-specific apps. In the past this would have required an API call to get data from a system of record.
The content in this example scenario is for demonstration purposes only. You should evaluate how Copilot aligns with your organization’s business processes, regulatory requirements, and responsible AI principles.
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