Forecastify

Develop by Shopify

$4.99

/ Month

Free plan available 3 Days Free Trial

Simple & Intuitive Stock Replenishment Notifications

Customizable alerts

Csv export

Email reports

Stock forecasting

Live notifications

Visual graphs

About Forecastify

Launched Oct 08, 2024

Built by Shopify

Address

Warszawska 70, NIP: 6591509223, Miechów, 32-200, PL

Website Support Portal Privacy policy Tutorial FAQ Document

Related Categories

Claim Offer

Z Sticky Add To Cart Button

Claim Offer

Sponsored

Keep "Add to Cart" visible, boost conversions. No coding...

Introduction Video

Description

Forecastify predicts when your products will run out of stock based on historical sales data.

Forecastify is designed for Shopify merchants who want to optimize their inventory management and reduce the risk of stockouts. By analyzing your historical sales data, Forecastify provides accurate predictions of when your products are likely to run out of stock. This allows you to make informed decisions about when to reorder or replenish your inventory.

Stock Forecasting: View predicted stock-out dates for all your products
Customizable Alert Thresholds: Set your preferred number of days as a threshold
CSV Export: Export your stock forecasts to CSV format
Daily Email Reports and Live Stock Notifications (Pro Features)
Visual Forecast Graphs - View graph representations of your forecasts

Pros

Predicts stock-out dates for all products, aiding in inventory management
Customizable alert thresholds allow merchants to set preferred notification timelines
CSV export feature for easy data handling and integration
Daily email reports and live stock notifications available in Pro features
Visual forecast graphs provide clear representation of stock predictions
Helps reduce the risk of stockouts by leveraging historical sales data

Cons

Advanced features like daily email reports and live notifications are only available in the Pro version
Limited to Shopify users, restricting its audience to a specific e-commerce platform
Could be less effective for stores with irregular sales patterns where historical data might not be as predictive
Users may need to engage in setup and customization to fully benefit from its features