Demand Sense

Inspiration

Our Inspiration was working in Fortune 10 retail and e-commerce company seeing Merchants and category managers trying to figure out which products to place orders for ? How to improve the top and bottom line ? How promotions will impact my margins? This inspired me to create a product that can absorb data inputs across multiple platforms to reveal the next big product trend Demand sense will help you identify your next STAR product

What it does

An AI‑driven Demand‑Anomaly & Promotion‑Simulator product that helps e‑commerce teams spot sales spikes, interests and dips, understand their causes, and optimize promotions—all from one intuitive interface with the help of social media cues.

How we built it

Agent Execution and Orchestration: Parallel agents using Google ADK (Agent Development Kit). Frontend: Built using Streamlit, designed for intuitive user interactions and simulations. Backend Services: GCP Functions if needed. Hosting: Entire stack deployed on Google Cloud Platform (GCP).

Challenges we ran into

Missing or late detection of social‑driven sales spikes Disparate data sources (POS, social, news, weather, events) Lack of clear explanation for why anomalies occur Inability to preview promotional impact before launch Slow, manual response workflows (email chains, spreadsheets) Difficulty identifying emerging product trends across regions Non‑technical users struggling to access insights

Accomplishments that we're proud of

Streamlined execution of real time data. The agent is continuously running in the backend to generate real time insights The users were happy on the quick decisions which they could make using our app

What's next for Demand Sense

Demand Sense is evolving into a smarter, action-oriented platform. It will feature a Closed-Loop Action Framework to auto-trigger campaigns or alerts via API. An Agent-Based Forecast Tuner will refine predictions using LLMs and real-time signals with clear explanations. Competitive & Pricing Intelligence will benchmark SKUs and suggest optimal prices. Geo-Market Expansion Analytics will offer hyperlocal insights for targeted inventory and growth. Finally, a Conversational AI Copilot will allow users to get instant answers through natural language, integrated into Slack or Teams—making demand planning faster, smarter, and more dynamic.