BV ‑ Inventory Pulse

Develop by Shopify

$39.99-$149.99

/ Month

Free plan available

AI-powered app predicting demand to prevent stockouts and excess inventory.

Ai demand prediction

Trend visualization

Stock health monitoring

Prediction matrix insights

Stock throughput tracking

About BV ‑ Inventory Pulse

Launched Jul 17, 2025

Built by Shopify

Address

1680 Michigan Ave., Suite 700 #475, Miami Beach, FL, 33139, US

Website Support Portal Privacy policy Tutorial FAQ Document

Related Categories

Claim Offer

Zotabox Social Sharing Buttons

(162 Reviews)

Claim Offer

Sponsored

Social Media Icons and Buttons. Increase Your Social Shares...

Description

Inventory Pulse uses AI to predict demand, prevent stock issues, and optimize your store.

Inventory Pulse is an AI-powered inventory forecasting tool that analyzes your store's sales data to predict future demand, helping you avoid stockouts and overstocking. Visualize and identify trends with a vibrant area chart, monitor your inventory with an intuitive stock health dial, and explore detailed insights via a dynamic prediction matrix providing you with actionable insights to support your operational efficiency.

AI forecasts sales to ensure optimal stock levels, avoiding shortages or excess.
Colorful area charts clearly show sales trends to help you plan your inventory.
Stock health dial helps you gauge how good your stock levels are.
Prediction matrix provides clear insights to help you with stock decisions.
Stock throughput gauge tracks how your items sell to optimize your stock flow.

Pros

AI-powered demand forecasting helps in preventing stockouts and overstocking.
Vibrant area charts visualize sales trends, aiding in inventory planning.
Intuitive stock health dial allows for easy monitoring of inventory status.
Dynamic prediction matrix offers actionable insights for operational efficiency.
Stock throughput gauge provides tracking of item sales to optimize stock flow.

Cons

Potential dependence on AI predictions which may not account for all variables.
Complexity in setup or interpretation for users unfamiliar with advanced analytics.
Limited user feedback in reviews may indicate lack of widespread adoption.