Berry Inventory Forecaster

Develop by Shopify

$29-$79

/ Month

Free plan available

Optimize inventory with smart AI forecasting and automated purchase orders.

Automated purchase orders

Smart inventory management

Ai demand prediction

Supplier synchronization

Detailed sales analytics

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About Berry Inventory Forecaster

Launched Sep 18, 2025

Built by Shopify

Address

Menahem Begin, Rishon, 7558105, IL

Website Support Portal Privacy policy Tutorial FAQ Document

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Description

Know What To Reorder, Before It's Too Late.

Stockouts cost you money. Every day your bestseller is unavailable, you're losing sales to competitors. Berry helps you stay in stock by predicting what you'll need before you run out.

Stockouts cost you money. Every day your bestseller is unavailable, you're losing sales to competitors. Berry helps you stay in stock by predicting what you'll need before you run out. more

Get Early Warnings - Berry alerts you 7-14 days before you run low
Know What To Order - See exactly how many units you need
Save Time - Generate purchase orders in one click
Avoid Overstock - Order just what you need, not too much
100% Free Plan - Start forecasting for free, forever

Pros

AI-driven inventory forecasting reduces dependency on manual guesswork.
Automates purchase order generation, saving time and effort.
Syncs seamlessly with suppliers and Shopify products.
Detailed analytics and advanced reports help in making informed decisions.
Prevents stockouts and overstock situations, optimizing profitability.
Offers a free Basic Forecast module for new users.
Supports growing businesses with multiple products and suppliers.
Multi-level forecasting capabilities cater to various business needs.

Cons

Initial setup and integration may require time and effort, especially for non-tech-savvy users.
Depending on external APIs might occasionally lead to inconsistencies if those services experience downtime.
Advanced features might be more useful for larger businesses, potentially leading to underutilization by smaller businesses.
Automated processes might reduce human oversight, possibly leading to errors if not monitored.