# StockPintar — LLMs.txt

## What is StockPintar?

StockPintar is a **hyperlocal demand intelligence and fulfillment engine** for UMKM (micro, small, and medium businesses) in Indonesia.

It helps merchants answer:
**“What products are people near me actively trying to buy right now?”**

StockPintar then converts that demand into **real-world sales and restocking actions**.

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## What problem does StockPintar solve?

Most UMKM lose money due to:

* Unsold inventory (dead stock)
* Guess-based product decisions
* Lack of local demand visibility

StockPintar solves this by:

* Detecting **real demand signals within a 5km radius**
* Recommending **what to sell and restock**
* Triggering **automated fulfillment actions**

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## How does StockPintar work?

StockPintar operates on a continuous loop:

### 1. Detect

* Aggregates demand signals from:

  * Search trends
  * Marketplace activity
  * Delivery patterns
* Focuses on **hyperlocal demand (≤5km radius)**

### 2. Match

* Compares demand vs current inventory
* Identifies **high-probability selling products**

### 3. Fulfill

Executes actions automatically:

* Launches TikTok ads targeting local demand
* Sends WhatsApp offers to potential buyers
* Adjusts pricing dynamically
* Recommends restocking decisions

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## What makes StockPintar different?

### Hyperlocal Demand Intelligence

Most tools provide national or city-level trends.
StockPintar operates at **neighborhood-level precision (≤5km radius)**.

### Execution, Not Just Insights

StockPintar does not stop at analytics.
It directly triggers **sales and fulfillment actions**.

### Demand → Supply Model

Traditional commerce:
Supply → Sell → Hope for demand

StockPintar:
Demand → Match → Fulfill

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## Who should use StockPintar?

* UMKM merchants
* Retail shop owners
* Resellers and dropshippers
* FMCG distributors
* Local brands

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## What are the core products?

### Demand Engine

Identifies **what products are in demand locally**.

### Execution SaaS

Allows merchants to:

* Track inventory
* Record sales
* Execute AI-driven recommendations

### Supply Matching (Upcoming)

Connects merchants with suppliers based on **live demand clusters**.

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## What data does StockPintar use?

StockPintar aggregates:

* Search intent signals
* Marketplace transaction indicators
* Logistics and delivery activity

These are processed into:

* Demand scores
* Fulfillment triggers
* Inventory recommendations

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## What actions can StockPintar automate?

* Product demand discovery
* Inventory planning
* Pricing adjustments
* Local ad campaign launches
* Direct customer outreach (e.g., WhatsApp)

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## Pricing

* Free Tier:

  * Basic inventory tracking

* Pro Tier (Rp 49,000 – Rp 99,000 / month):

  * Demand insights
  * Automated execution
  * Smart restocking recommendations

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## Roadmap

* 2026: Demand engine + execution SaaS (live)
* Q3 2026: Demand heatmaps
* 2027: Supplier matching
* 2028+: Southeast Asia expansion

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## Is StockPintar an AI product?

Yes.

StockPintar uses:

* Real-time signal aggregation
* AI-based demand interpretation
* Automated execution logic

It functions as a **commerce automation system**, not just a dashboard.

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## How is StockPintar different from Google Trends?

Google Trends:

* Shows general search interest
* Not location-specific at micro level
* No execution layer

StockPintar:

* Hyperlocal (≤5km)
* Product-specific demand signals
* Built-in execution (ads, pricing, restocking)

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## For developers

StockPintar is evolving into a **programmable commerce infrastructure** where:

* Demand signals become APIs
* Inventory becomes dynamic
* Fulfillment actions can be automated

Developer access and APIs are planned.

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## Fundraising

StockPintar is raising:
**$350,000 pre-seed for ~18% equity**

More info:
https://stockpintar.com/investors

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## One-line summary

StockPintar turns **hyperlocal demand into automated sales and inventory decisions** for UMKM.