Best Demand Planning Software - Page 14

How Many Demand Planning Software Products Does G2 Track?

Total Products under this Category: 222

Category Stats (Sep 2026)

  • Average Rating: 4.44/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Syncron Service Lifecycle Management (+0.74%) - Among all products in this category, Syncron Service Lifecycle Management recorded the largest rating increase compared to last month

Last updated: September 05, 2026

How Does G2 Rank Demand Planning Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 3,800+ Authentic Reviews
  • 222+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Demand Planning Software

G2 Grid® for Demand Planning Software plotting products by satisfaction and market presence

Highlighted products: SAP Integrated Business Planning, IBM Planning Analytics, StockIQ, Netstock, Streamline, Blue Ridge Global, RELEX, and Oracle Fusion Cloud Demand Management.

Underlying data: [Grid® JSON](https://www.g2.com/categories/demand-planning/grids.json?focus%5B%5D=sap-integrated-business-planning&focus%5B%5D=ibm-planning-analytics&focus%5B%5D=stockiq&focus%5B%5D=netstock&focus%5B%5D=gmdh-streamline&focus%5B%5D=blue-ridge-global&focus%5B%5D=relex-solutions-relex&focus%5B%5D=oracle-fusion-cloud-demand-management)

SCP

JMS was formed by a group of logistics consultants who, after over 17 years of experience, were determined to offer the business world a powerful and affordable alternative to expensive, cumbersome supply chain programs. Our Mission is to provide flexible, high quality products and services while building long lasting relationships. We offer strong supply chain guidance and clear-cut exception oriented solutions. SCP has helped companies establish VMI relationships, improve planning, minimize stockouts, and lower inventory costs by giving them flexible, user-friendly tools that get the job done quickly and accurately.

Who Is the Company Behind SCP?

Who Uses This Product?

  • Company Size: 100% Large

What Are G2 Users Discussing About SCP?

Scyplan

Scyplan is an AI-first supply chain planning platform that gives planners accurate forecasts, clear insights and faster decision support without the complexity of traditional suites. Its Demand Planning module combines machine learning, a control tower, natural-language AI assistance, hierarchical planning and KPI reporting in one intuitive workflow. Built on a modern tech stack, Scyplan offers scalable pricing without heavy implementation costs. Headquartered in the Netherlands, Scyplan serves companies globally.

Who Is the Company Behind Scyplan?

Shelf Planner

Shelf Planner helps retailers take the guesswork out of inventory management. Built for small businesses, Shelf Planner connects directly to your online store to forecast demand, optimize purchasing, and avoid costly stockouts or excess inventory. Whether you're managing a growing product range or juggling unpredictable supplier lead times, Shelf Planner automates your inventory decisions — so you can spend less time in spreadsheets and more time growing your business. Available for all major platforms like WooCommerce, Shopify, PrestaShop and others. Join 1000+ merchants worldwide who use Shelf Planner to reduce manual work, improve availability, and make better purchasing decisions every day.

Who Is the Company Behind Shelf Planner?

SkuCaster

SkuCaster is machine-learning based SKU level forecasting software that helps manufacturers and distributors predict with 94 percent accuracy future demand for each individual SKU. SkuCaster trains a machine learning model on POS and Shipment data while incorporating employees' tacit knowledge of the business to improve the model accuracy. Sales & Operations Planning, Demand Planning, Supply Chain and Finance teams use SkuCaster to minimize overstocking and boost productivity by at least 50 percent through automated forecasting, all directly integrated into your ERP of choice. Finally, teams use SkuCaster to transition to a proactive approach to demand forecasting using our critical alerts feature that notifies via Teams/Slack when forecasted demand and production vary.

Who Is the Company Behind SkuCaster?

SKU Compass

SKU Compass is an intelligent inventory forecasting and restock planning platform built for eCommerce teams that manage hundreds — or thousands — of SKUs. Designed by experienced sellers and data engineers, SKU Compass gives you the clarity and control you need to stay in stock, reduce overstock, and scale confidently. Our system automatically analyzes sales velocity, lead times, safety stock, and replenishment patterns to recommend exactly what to reorder and when — across Amazon (FBA & AWD), Walmart (WFS), Shopify, WooCommerce, and ShipStation. Whether you’re tired of guessing reorder quantities in spreadsheets or struggling to coordinate complex bundles and kits, SKU Compass automates the heavy lifting with real-time insights and proactive alerts. Key Features: Demand forecasting by SKU, brand, or warehouse High-SKU and bundle (Master/Build) management Automated reorder recommendations PO creation and vendor lead-time tracking Multi-channel integrations: Amazon, Walmart, Shopify, WooCommerce, ShipStation Amazon AWD warehouse sync Real-time inventory analytics and dashboards Ideal For: eCommerce sellers, brands, and agencies managing 5+ SKUs who want to eliminate manual spreadsheets, avoid stockouts, and forecast inventory with confidence. Why Users Choose SKU Compass: Proven to save 5–10+ hours per week on manual forecasting Designed specifically for high-SKU eCommerce sellers Simple setup — connect your stores and start forecasting in minutes Backed by years of experience in Amazon FBA, 3PL, and SaaS operations

Average Rating: 5.0/5.0

Total Reviews: 1

Who Is the Company Behind SKU Compass?

Who Uses This Product?

  • Company Size: 100% Small

What Do G2 Reviewers Say About SKU Compass?

AI-generated summary from verified user reviews

Pros
  • Users value the customer-focused support from SKU Compass, significantly enhancing their inventory management efficiency.
  • Users value SKU Compass for its time-saving capabilities, efficiently managing inventory for businesses with numerous SKUs.

What Are Recent G2 Reviews of SKU Compass?

Soma

Who Is the Company Behind Soma?

Sparrow.Plan

Sparrow.Plan is a SaaS product for planning and optimizing spare parts stocks. Using tens of data points, live info from suppliers and learning algorithms, Sparrow.Plan is able to recommend the ideal stock room level: eliminate over stock and reduce downtime. Planning and optimization for every spare part on stock: - Sparrow.Plan uses part specific demand forecasting based on the part classification - Customized per site based on local historical data for spare parts procurement and usage - A learning algorithm improves recommendations based on user input and new data User friendly and intuitive application for data-driven spare parts planning: - Key stockroom metrics at your fingertips - Detailed analysis per part gives you confidence and control - Built-in approval processes reflect your internal processes Collaboration and integration with leading ERPs: - Supporting import and export templates - Live integration with ERP possible - for ingesting updated data and sending planning records

Who Is the Company Behind Sparrow.Plan?

Stemly

Stemly is a global decisions intelligence provider with state-of-the-art forecasting and optimization solutions for supply chain and finance industries. The Stemly SaaS platform is powered by automatic machine learning with ability to deliver substantial business and financial impact in terms of lower lost demand, decrease in inventory, lower working capital and financing costs.

Who Is the Company Behind Stemly?

SupplyCare Enterprise

The SupplyCare inventory management platform supports users in collaborative demand planning, event-driven replenishment planning and scheduling as well as the reconciliation (in/out) and consolidation (totaling) of geographically distributed inventories.

Who Is the Company Behind SupplyCare Enterprise?

  • Seller: Endress+Hauser
  • Year Founded: 1953
  • HQ Location: Reinach, Basel-Country, Switzerland
  • Twitter: @Endress_Hauser
    10,268 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    9,953 employees on LinkedIn®

Supply & Demand Planner

Who Is the Company Behind Supply & Demand Planner?

  • Seller: Complexica
  • Year Founded: 2014
  • HQ Location: West Lakes, AU
  • Twitter: @Complexica_AI
    212 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    82 employees on LinkedIn®

SyncKanban

Synchrono helps clients manage constraints, improve flow, drive on-time delivery and maintain a competitive edge.

Who Is the Company Behind SyncKanban?

  • Seller: Synchrono
  • Year Founded: 2000
  • HQ Location: Edina, US
  • Twitter: @Synchrono_News
    2,329 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    22 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of SyncKanban?

What Are G2 Users Discussing About SyncKanban?

Syren Demand Management Solution

Syren Demand Management solution eliminates manual processes & maximizes cost-efficiency via smart, touchless supply chain.

Who Is the Company Behind Syren Demand Management Solution?

Syrup

Syrup is an AI-powered merchandising platform designed to optimize inventory management for omnichannel retailers, particularly in the apparel and footwear sectors. By integrating granular demand forecasts with real-time data, Syrup enables businesses to plan, buy, and allocate inventory with confidence, leading to increased margins and reduced held inventory costs. Key Features and Functionality: - Demand Sensing: Utilizes accurate forecasts to inform planning, buying, and allocation decisions, enhancing sell-through rates and minimizing inventory holding costs. - Allocations: Manages seasonal inventory allocation processes with AI support, ensuring optimal distribution across channels. - Buying: Facilitates strategic purchasing decisions, both pre-season and in-season, by analyzing detailed demand signals. - AI-Powered Forecasting: Delivers store-level forecasts at the most granular level, capturing complex demand-supply relationships through advanced, non-linear models. - Optimization Engine: Handles complex computations with configurable business logic constraints, aligning recommendations to key target metrics like Weeks of Supply or display and shipment constraints. Primary Value and Problem Solved: Syrup addresses the critical challenge of inventory mismanagement in the retail industry, which often leads to stockouts and overproduction. By providing AI-driven insights and recommendations, Syrup helps retailers: - Increase Full-Price Sell-Through: Achieve higher sell-through rates by aligning inventory with actual demand. - Reduce On-Hand Inventory: Minimize excess stock, thereby lowering holding costs and reducing waste. - Enhance Profit Margins: Optimize inventory decisions to improve overall profitability. - Capture High ROI: Implement AI solutions that deliver significant returns on investment through improved operational efficiency. By leveraging Syrup's platform, retailers can transform their inventory management processes, leading to more efficient operations and a stronger bottom line.

Who Is the Company Behind Syrup?

  • Seller: Syrup
  • Year Founded: 2003
  • HQ Location: Atlanta, US
  • Twitter: @syrupmarketing
    1,289 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15 employees on LinkedIn®
Daniel Rivera
DR
Researched and written by Daniel Rivera
Updated April 9, 2026