Demand Planning: best apps and software
Demand planning software forecasts future product demand from history, seasonality, and market signals to guide inventory and production plans.

Inventory Planner
Inventory Planner forecasts demand and automates replenishment for multichannel retailers, tracking stock across locations, generating purchase orders, and providing inventory analytics and alerts.

QAD
QAD is a cloud-based ERP solution designed for manufacturing and supply chain operations, optimizing production, planning, and real-time analytics across global networks.

PlanD
PlanD analyzes business data to monitor KPIs, forecast demand, identify risks and bottlenecks, and support operational, sales, marketing, and inventory decisions.

Inventoro
Inventoro is an AI-based tool for sales forecasting and inventory management, helping merchants predict sales and organize inventory effectively.

Supplyit
Supplyit is a cloud-based foodservice management platform that provides tools for production forecasting, inventory management, order processing, and compliance with health regulations.

Intuendi
Intuendi is a demand forecasting and inventory optimization tool for businesses, helping prevent stockouts and manage inventory with accurate predictions.

Corvera
Corvera is an AI supply chain platform for FMCG brands and retailers that automates end-to-end order processing, demand forecasting, and purchase order management.

Cogsy
Cogsy is an inventory management app that helps DTC brands optimize stock levels, forecast demand, and streamline replenishment processes.

SoStocked
SoStocked is an Amazon inventory management tool that helps sellers forecast demand, order efficiently, and manage stock across multiple sales channels to minimize overstock and stockouts.

Hakio
Hakio is a demand planning platform that uses forecasting models to optimize inventory management and assist online retailers in making data-driven purchasing decisions.

Prediko
Prediko is an AI-based inventory management app for Shopify that forecasts stock needs and manages purchase orders to prevent stockouts and overstock.

Lineup.ai
Lineup.ai is a restaurant scheduling and forecasting app that uses AI to create efficient schedules and predict demand for menu items, simplifying management tasks.

StockTrim
StockTrim is cloud-based software for demand forecasting and inventory planning, helping SMEs optimize stock levels and reduce costs through predictive analytics.

logistixAI
logistixAI is a logistics management app that optimizes scheduling, routing, and warehouse tasks using AI and real-time analytics to improve supply chain efficiency.

Paqtana
Paqtana is an inventory planning app that helps manage stock levels, reduce excess inventory, and prevent stock-outs with demand-driven order suggestions and collaborative tools.

SKU Science
SKU Science is a web app that simplifies sales forecasting and performance tracking for businesses without complex integration or subscriptions.

Flieber
Flieber is a platform that uses AI to optimize demand planning and inventory management, providing forecasting, replenishment, and order management tools.

Flowlity
Flowlity is a SaaS app for optimizing inventory management, improving planning, forecasting, and communication between businesses and suppliers to reduce stock issues.

Increff
Increff helps retailers plan merchandise, forecast demand, manage inventory and warehouses, and fulfill orders across stores, marketplaces, websites, and other channels.

Heptic
AI app for restaurant operations that forecasts demand, plans staff and purchasing, tracks inventory and KPIs, and combines data across locations.

B2Wise
Supply chain planning app for demand-driven materials planning, forecasting, scheduling, and inventory coordination, with ERP integration.

Metreecs
Metreecs forecasts product demand and helps retailers plan buying, allocate inventory, and automate reports to reduce overstock and out-of-stock situations.

Spherecast
Spherecast is an AI-driven inventory management app for e-commerce brands, aiding in demand planning, replenishment, and optimizing stock to improve efficiency.