Inspiration
The purpose of StockSight is to offer intuitive inventory management solutions that help small businesses, industries, pharmacies, and educational institutions track and leverage their assets efficiently. Many organizations struggle with stockouts, over-ordering, or inefficient tracking, leading to lost revenue, wasted resources, and operational bottlenecks. I wanted to create a tool that centralizes inventory data, provides actionable insights, and enables proactive decision-making — all through a simple, user-friendly dashboard. This solution not only helps small businesses optimize stock and prevent shortages, but also supports the wider community by ensuring essential products and resources remain accessible, reducing waste, and promoting efficiency in local organizations and institutions.
What it does
StockSight is an interactive inventory management dashboard that allows users to track, analyze, and manage stock in real time. Its core functionalities include:
- CSV Inventory Upload
- Real-Time Inventory Overview
- CRUD Actions
- Visual Insights
- Interactive Assistant
- Download Updated Inventory By combining data visualization, actionable insights, and interactive controls, StockSight makes inventory management efficient, proactive, and accessible for small businesses, institutions, and community-focused organizations.
How I built it
StockSight was built using Python and Streamlit, which allowed me to rapidly develop an interactive web dashboard in under 24 hours. We leveraged Pandas for inventory data management and Altair for clean, interactive visualizations. The dashboard relies on CSV file uploads for inventory input and uses Streamlit’s session state to manage real-time updates across CRUD actions (Add, Update, Remove). A rule-based chatbot assistant was implemented using JSON parsing and keyword detection, enabling users to query inventory and receive actionable responses without a generative AI model. The interface is designed for clarity and ease of use, with a 2x2 dashboard layout for visual insights, a sidebar for inventory actions, and an optional download feature for updated inventory. This combination of interactive UI, visual analytics, and logic-driven assistance allows users to proactively monitor and manage stock, making inventory management simple and efficient.
Challenges I ran into
During development, we encountered several challenges: Front End:
- Session State Management: Ensuring that CRUD actions (Add, Update, Remove) updated the inventory consistently without reverting to the original CSV required careful handling of Streamlit’s session state.
- Dashboard Layout: Aligning multiple tables and charts in a 2x2 format while maintaining consistent aspect ratios and visual balance was tricky.
- Visual Presentation: Making the app aesthetically appealing and professional-looking within Streamlit’s default styling constraints required experimenting with column widths, chart sizes, and formatting. Back End:
- Data Accuracy: Preventing duplicate items across categories and ensuring correct categorization required additional validation and cleanup logic.
- Chatbot Logic: Implementing a rule-based assistant that could understand queries like “list items under [category]” required careful parsing of user input and handling edge cases. Overall: Time Management: As a first-time hackathon participant, balancing time between event workshops and deciding which tools to use for rapid development was a significant challenge. Despite these hurdles, I was able to build a fully functional, user-friendly MVP that meets the goals of proactive inventory management and actionable insights and thanks to these hurdles, I have gained irreplaceable experience as a real-world developer.
Accomplishments that I'm proud of
To be quite frank, I had no idea what to build on the first day of the hackathon. Yet, my unwavering curiosity pushed me to explore possibilities I never imagined could be accomplished within just 24 hours. This experience became not only a significant hackathon milestone but also a personal milestone, allowing me to experiment and push through constraints I once thought were impossible. I am especially proud of the front-end design I achieved after long hours of creative exploration, as well as the simple and efficient use of Streamlit to bring the dashboard to life.
What I learned
I learned that even when the odds seem overwhelmingly impossible, acknowledging your feelings and giving yourself time and space can help you accomplish things you never thought possible. Adapting under pressure can be daunting, but the sense of achievement when you pull through is incredibly rewarding. Even as a solo participant, I leveraged the human resources around me—event workshops, conversations with friends, and even strangers—to share experiences and gain support. Overall, it was a truly enriching life experience, and I highly recommend it to anyone looking to pioneer their journey as a developer.
What's next for StockSight
While StockSight is fully functional as a hackathon MVP, I envision several exciting future capabilities that will make it even more powerful for businesses and organizations:
- Implement machine learning algorithms to predict future inventory needs, helping businesses stay ahead of demand and avoid stockouts.
- Enable tracking and management of inventory across multiple locations, providing a centralized view of stock and distribution.
- Monitor and score suppliers based on delivery speed, reliability, and product quality to optimize procurement decisions.
- Expand the interactive assistant to handle more complex queries, provide proactive suggestions, and guide users through inventory decisions.
- Automatically suggest reorder quantities and timing based on historical trends, stock levels, and demand patterns.
- Identify unusual inventory changes or discrepancies to prevent errors, losses, or fraud.
- Maintain a detailed record of all inventory actions, allowing users to track changes, monitor performance, and ensure accountability. These enhancements aim to transform StockSight into a comprehensive, intelligent inventory management platform, enabling businesses and organizations to make data-driven decisions, optimize stock, and maintain operational efficiency, a scope beyond a 48-hour project.
Log in or sign up for Devpost to join the conversation.