# Overview 
This project is prepackaged with different datasets on [Sales and Demand Forecast](flow_zone:s4EOxWD), [Customer Information](flow_zone:TaPoHVn) and [Product Recommendation](flow_zone:default).

Furthermore, this project includes five agents: 
 - A main [Store Assistant Agent](saved_model:XoFPzwEm), that calls the two other agents and sends emails
 - [Customer Agent](saved_model:DUeYkBfU), [Product Agent](saved_model:8gKEfYwY) and [Sales Agent](saved_model:DDiXhIwO) connected to their respective datasets using the SQL tool plugin.
 - A [Markdown Agent](saved_model:n0gLkDhT), that has access to the [markdown_features](dataset:markdown_features) dataset that includes product characteristics, historical sales metrics, price & discount history and seasonality information. These are leveraged by the [Markdown_model](saved_model:DEMANDFORECASTSALESASSISTANT.rQTmjKBd) to support markdown analysis and price optimization decisions. Further information on how the model operates can be found on its [Wiki](article:DEMANDFORECASTSALESASSISTANT.85).

# Flow zone #
The flow zone is structured around the three agents, the datasets and the models they're using. In this project, no data preparation is done, but to adapt the demo to the user's file, some data preparation of the inventory and sales data may be needed.
### Answer datasets and pre-built questions
These zones include the orchestrating agent, the chat history with the agent, the user profiles, and a set of pre-built questions to ask the agent. This set of questions is based on a daily scenario that automatically sends a daily report by email on sale recommendations for top- and worst-selling products, or products with significant demand changes.
![Store_Assistant_Agent.png](XchPvEQgIsTY)

### Data Query
The data query zone contains the Data Query Agent and all documents to which it has access. These datasets contain information on:

- Personalized product recommendations for customers are used for targeted marketing
- Sales and Demand forecast
 - Product description (IDs, product family, and universe, collection)
  - Weekly demand forecast
  - Total number of units sold and revenue
- Customer profile information, including
 - Customer Lifetime Value metrics (historical and predicted), clusters, and predictions
 - RFM (Recency, Frequency, Monetary) segmentation
 - Transaction behavior (number of transactions, total purchases)
 - Customer segmentation labels (e.g., "Champions," "Can't lose them," "Hibernating")
![Data_Query_Agent.png](0KmFkzWJ9ObZ)

### Markdown
The Markdown flow zone contains the Markdown Agent, Markdown model, and the [markdown_features](dataset:markdown_features) dataset that includes:
- Product characteristics
- Historical sales metrics
- Price & discount history
- Seasonality information

![Markdown_Agent.png](yXgzaINbblmB)
