data · ai · Documented

Sales Dashboard

Multi-tenant sales management and AI analytics on Streamlit and PostgreSQL.

Studio plate used on sales and KPI demo notes — Studio plate from the public dossier. Not a capture of a private interface.

Overview

A multi-tenant sales management project with an analytics layer described, in the public record, as AI analytics. The source stack is Streamlit and PostgreSQL. The archive is public.

Problem

Sales tools either store transactions or show a chart. Multi-tenant reporting needs both, and a separation between tenants.

Solution

A Streamlit application on PostgreSQL that combines sales management with analytics, including the AI-analytics layer named in the project record.

Architecture

Streamlit as the application surface.
PostgreSQL as the store.
Tenant separation for sales management.
Analytics layer, described publicly as AI analytics.
Public GitHub archive and Demo 3.

Technology stack

Streamlit
PostgreSQL
Python
AI analytics

Features

Multi-tenant sales management.
Analytics in the same application as the records.

Challenges

The public record says AI analytics and does not name a model. This page does not invent one.

Results

Source archive and demo PDF are public. No accuracy figure is stated.

Lessons learned

Name the model when you have one. Until then, call the layer what the archive calls it.