Shopify app
NewFashion Inventory Management
AI-driven seasonal demand forecasting for fashion ecommerce
- Rating on Shopify
- 5.0(1)
- Reviews
- 1
- Developer
- Easy Replenish
- Launched
- January 26, 2026
- Pricing
- Free
- Languages
- English
The facts
Every value below is read from the listing or computed by the published formula. Nothing is a verdict.
Bayesian rating
4.32
category median 4.38
Reviews in the last 180 days
0
from the 1 reviews on the listing page
1 and 2 star share
0%
0 of 1
Starting price
Free plan
band: Free
Rating distribution
1 ratings on the listing at crawl time.
- 5 stars1(100%)
- 4 stars0(0%)
- 3 stars0(0%)
- 2 stars0(0%)
- 1 star0(0%)
Latest reviews
The 1 most recent of 1 on-page reviews, quoted to at most 25 words each. Full reviews are on the Shopify listing.
5 starsMar 6, 2026Miss Mosa By AkankshaIndiaAbout 1 month using the app
"Been using EasyReplenish for almost 2 years now and it’s easily the best inventory planning app we’ve tried. It makes forecasting and replenishment much simpler ..."
Features Shopify lists for this app
Feature handles from the listing, grouped as Shopify groups them.
Inventory management
- Inventory tracking
- Auto-restock
- Forecasting
- Multi-location
- Real-time updates
- SKUs
- Stock replenishment
- Stock transfer
- Inventory planning
- AI optimization
- Workflow automation
- Multi-channel
Order management
- Purchase orders
Notifications and analytics
- Restock notifications
- Replenishment reminders
- Low stock alerts
- Out of stock notifications
- Threshold alerts
- Custom reports
- Insights
- Email notifications
- Analytics
Data access
As disclosed on the listing. Never scored.
View customer data
Sensitive data, device and activity data
- Sensitive data: Email address
- Device and activity data: Geolocation, IP address, browser and operating system
View staff and contributor data
Store owner
- Store owner: Name, email address, phone number, physical address
View and edit store data
Customers, products, orders, discounts, Online Store, Shopify admin, other data
- View customers: Customer data
- Edit products: Inventory, products, collections
- Edit orders: Assigned fulfillment, merchant managed fulfillment, third-party fulfillment, draft orders, all order history
- Edit discounts: Discount codes and promotions
- Edit Online Store: Theme, Online Store script tags
- Edit Shopify admin: Files
- Edit other data: Locations, publications of products on sales channels
Developer
Easy Replenish
- Apps in the dataset:
- 1
- Address:
- #104, Tower 9, Sector-99, Gurgaon, KA, 122505, IN
- Website:
- not stated
- Support email domain:
- easyreplenish.com
- English support:
- yes
- Resources:
- Privacy policy
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From the Shopify listingDeveloper claims, shown verbatim and collapsed. 64 words.Show
- Demand Forecasting: Forecast demand using sales, seasonality and promos
- Style-Level Replenishment: Plan inventory by style with SKU-level drill-down
- New Launch Intelligence: Identify winning new launches using early demand
- ABCN Classification: Classify inventory into A, B, C and New groups
- Smart Purchase Orders: Create and track purchase orders efficiently
Smart Inventory Planning for Fashion Brands with Style-Level, Seasonal Replenishment & Smart POs.
EasyReplenish helps Fashion E-Commerce brands move beyond spreadsheets with smart, automated inventory planning. Manage replenishment at the style level with SKU-level insights, and get accurate recommendations on what, when, and how much to reorder. Easily automate purchase orders across channels and warehouses to avoid stockouts, reduce overstock, and maximize inventory efficiency.
Questions and comments
Questions people ask about Fashion Inventory Management, answered from what this page shows. Entries marked Site editor are written by the EcomAppReviews editor. Reader comments appear after a person has read and approved them, usually within a day. E-mail addresses are never published.
Data as of Oct 20, 2026, from the public Shopify App Store listing. How the numbers are computed: methodology.
1 review counted on the listing. Rating and count in the structured data are the values Shopify displayed at crawl time.