This is a submission for the Algolia Agent Studio Challenge: Consumer-Facing Non-Conversational Experiences
What I Built
I built the Smart Grocery Inventory Management System, an intelligent, proactive inventory solution designed for small grocery stores and mini-marts.
Instead of relying on manual stock checks or static dashboards, this system automatically detects inventory issues and proactively alerts the store manager about:
Dead stock (0 units)
Critical stock (<5 units)
Low stock (5–10 units)
Lost revenue from sold-out items
Restocking priorities based on sales velocity
Top sellers based on daily performance
It functions as a non-conversational smart assistant that continuously evaluates the entire inventory and surfaces actionable insights without requiring back-and-forth prompts.
The system enhances workflow by:
Automatically classifying items into priority levels (URGENT / HIGH / MEDIUM)
Showing color-coded alerts on the home page
Providing InstantSearch-powered discovery for quick decision-making
Generating real-time analytics through interactive charts
Reducing manual labor and enabling faster, data-driven decisions
Demo
Here’s how judges can test the application:
🔗 Live Demo:
video link: https://drive.google.com/file/d/18cjE4Idwph20Obip3mSVHf8qJbQBe0KV/view?usp=sharing
Github Link: https://github.com/SaiPavankumar22/Smart-Stock-Management-System
How I Used Algolia Agent Studio
- Indexing Strategy
Each product is stored in Algolia with the following schema:
{
"objectID": "unique_id",
"name": "Product Name",
"brand": "Brand Name",
"category": "dairy|beverages|snacks|groceries",
"price": 450.00,
"stock": 120,
"daily_sales": 15,
"supplier": "Supplier Name",
"image": "image_url",
"description": "Product description"
}
- Smart Retrieval for Alerts
We built a multi-tier alert system using three retrieval layers:
Dead Stock → stock == 0
Critical Stock → 0 < stock < 5
Low Stock → 5 <= stock < 10
Using Algolia’s fast indexed retrieval, a single search call returns all inventory instantly (2000+ products), enabling local post-filtering:
def get_alerts():
items = algolia.search("", {"hitsPerPage": 2000})
return {
"dead_stock": [i for i in items if i["stock"] == 0],
"critical": [i for i in items if 0 < i["stock"] < 5],
"low_stock": [i for i in items if 5 <= i["stock"] < 10]
}
This powers:
Real-time banners
Priority-based alerts
Restock recommendation engine
Lost revenue calculations
- Dashboard Analytics Using Algolia Retrieval
Fast retrieval enables real-time chart updates for:
Category distribution
Top selling items (daily_sales)
Stock levels (bar chart)
Restocking priorities
These insights update instantly as inventory changes.
- InstantSearch Integration
The system includes a fully-featured InstantSearch experience with:
Searchable Attributes: name, brand, category, supplier, description
Facets: category, brand, supplier
Highlighting for matched text
Real-time filtering with <50ms response time
Custom ranking using:
desc(daily_sales)
asc(stock)
desc(price)
This creates an extremely fast, intuitive browsing and decision-making workflow.
Why Fast Retrieval Matters
Algolia’s speed completely transforms this system from a reactive reporting tool into a proactive intelligence engine.
- Real-Time Stock Monitoring
Traditional DB queries: 2–5 seconds
Algolia: <50ms for all 2000 products
Result: Managers are alerted instantly before stockouts happen
- Live Analytics
All 4 dashboard charts are generated from live data in <200ms
Zero caching needed
Insights are always up-to-date
- InstantSearch for Quick Decision-Making
<20ms updates on each keystroke
Managers find items 10x faster
Facets + filters instantly narrow decision space
- Proactive Alerts
Dead stock detected instantly
Lost revenue calculated as soon as stock hits zero
Restocking priorities dynamically update with each upload
Impact
Prevents stockouts
Reduces daily revenue loss
Enables faster, more accurate business decisions
Eliminates manual checking work
Algolia’s speed is the backbone that enables this proactive, real-time management experience.
⭐ Additional Notes
I am participating as an individual.
All development, design, and engineering work was completed by me.
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