Best Demand Planning Software - Page 9

How Many Demand Planning Software Products Does G2 Track?

Total Products under this Category: 255

Category Stats (Nov 2026)

  • Average Rating: 4.45/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Slimstock (+2.27%) - Among all products in this category, Slimstock recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank Demand Planning Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 4,100+ Authentic Reviews
  • 255+ 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, Slimstock, StockIQ, Streamline, Netstock, RELEX, and Blue Ridge Global.

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=slimstock&focus%5B%5D=stockiq&focus%5B%5D=gmdh-streamline&focus%5B%5D=netstock&focus%5B%5D=relex-solutions-relex&focus%5B%5D=blue-ridge-global)

Unacast

Unacast is a proximity and location data platform.

Average Rating: 4.9/5.0

Total Reviews: 10

How Do G2 Users Rate Unacast?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.9/10)

Who Is the Company Behind Unacast?

  • Seller: Unacast
  • Year Founded: 2014
  • HQ Location: New York, US
  • Twitter: @unacast
    6,333 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    68 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 20% Large

What Do G2 Reviewers Say About Unacast?

AI-generated summary from verified user reviews

Pros
  • Users value the excellent customer support from Unacast, noting their responsiveness and willingness to assist with inquiries.
  • Users value Unacast for its responsive customer service and the ability to customize data delivery for insights.
  • Users value the data accuracy provided by Unacast, ensuring confidence in reliable downstream results.
  • Users value the easy access and prioritization from Unacast's support team, enhancing their overall experience.
  • Users value Unacast's excellent service, feeling prioritized and well-supported compared to previous providers.
Cons
  • Users find that the data inaccuracy in Unacast affects reliability due to its dependence on SDKs.
  • Users are frustrated by the inaccurate geolocation data from Unacast, leading to unreliable user insights.
  • Users highlight the mapping issues in Unacast due to uncontrolled SDK-derived data affecting accuracy and reliability.

What Are Recent G2 Reviews of Unacast?

What Are G2 Users Discussing About Unacast?

Verteego

CSR Reporting - Sustainability Reporting - HSE Reporting - Carbon & Energy management - REACh traceability throughout supply chains

Average Rating: 4.3/5.0

Total Reviews: 8

How Do G2 Users Rate Verteego?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)

Who Is the Company Behind Verteego?

  • Seller: Verteego
  • Year Founded: 2018
  • HQ Location: Paris
  • Twitter: @Verteego_EN
    348 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    29 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 25% Large

What Do G2 Reviewers Say About Verteego?

AI-generated summary from verified user reviews

Pros
  • Users value the forecasting accuracy of Verteego, enhancing demand prediction and resource optimization effectively.
  • Users benefit from Verteego's predictive analytics and scenario simulation, enhancing demand forecasting and resource optimization.
  • Users find the automation features of Verteego helpful for delivering actionable insights and making informed decisions.
  • Users value Verteego's predictive analytics and scenario simulation, enhancing demand forecasting and resource optimization effectively.
  • Users value the predictive analytics and scenario simulation features of Verteego for effective demand forecasting and resource optimization.
Cons
  • Users face compatibility issues with Verteego, leading to challenges in integration and functionality across different platforms.
  • Users experience complex implementation challenges with Verteego, leading to trust issues regarding its AI functionalities.
  • Users express concerns over the implementation complexities of Verteego, which hinder a smooth user experience.
  • Users face implementation complexity with Verteego, resulting in challenges during setup and integration processes.
  • Users find the limited flexibility of Verteego restricting and seek improved performance optimization for better usability.

What Are Recent G2 Reviews of Verteego?

What Are G2 Users Discussing About Verteego?

7thonline

Retail, eCommerce & Wholesale: Leading Cross-Channel Merchandise & Assortment Planning Solutions for Apparel, Footwear & Accessories Industries. Data-Driven, Demand-Driven, Cloud-Native SaaS powered by predictive analytics, statistical modeling, adaptive forecasting, ML, AI that is augmented by case-based reasoning. Since 1999, 7thonline has been an industry leader in merchandise planning and demand forecasting for global retailers and wholesale brands in the apparel/footwear/accessories industries. Our complete suite of merchandise and assortment management software solutions are specially designed to address the unique inventory and planning challenges facing the fashion industry. Customers such as, Patagonia, Tommy Hilfiger, Colony Brands, PVH, Michael Kors, Calvin Klein, Nautica and Bestseller are able to drive tangible benefits that include optimizing inventory, decreasing markdowns, increasing fill rate, and maximizing margins.

Who Is the Company Behind 7thonline?

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ABC-Plan

Pharma & BioTech supply planners love ABC-Plan's advanced algorithms, budget-friendly pricing, and configurability. Harnessing the power of advanced algorithms and cloud technology, ABC-Plan revolutionizes inventory planning to combat stock-outs and reduce write-offs. Boasting a swift 1-day self-setup, it's primed for instant application.

Who Is the Company Behind ABC-Plan?

AI Powered Demand Planning

Firstshift's AI-powered demand planning is a modern approach to forecasting that uses AI, machine learning, real-time data, third-party signals and continuous optimization to help organizations anticipate demand more accurately and respond faster to change. The platform is designed as an evergreen capability that improves over time rather than a static model that degrades between upgrades. Forecasts are continuously refined using live demand signals, historical patterns, and operational constraints, allowing planners to move beyond spreadsheet-driven processes and manual forecast overrides. Our AI-powered demand planning software uses data from ERP systems and adjacent sources such as orders, shipments, inventory positions, promotions, and seasonality as well as third-party data. Machine learning models analyze this data to identify patterns, detect anomalies, and adapt forecasts as conditions evolve. Rather than locking organizations into long implementation cycles or rigid configurations, modern platforms prioritize rapid deployment and ongoing improvement after go-live. Firstshift customers include manufacturers and distributors across CPG, food and beverage, industrial manufacturing, and distribution. Typical users include demand planners, supply chain leaders, operations teams, finance stakeholders, and executives responsible for service levels, inventory, and working capital performance. Firstshift supports planner-in-the-loop workflows where AI narrows options, surfaces risk, and highlights tradeoffs while humans retain decision ownership. This approach enables organizations to scale planning intelligence without removing accountability or relying on individual spreadsheet expertise. Firstshift's AI-powered demand planning software capabilities include: - Adaptive forecasting that improves continuously as new data becomes available - Demand sensing that adjusts near-term forecasts using real-time signals - Scenario modeling to evaluate service, inventory, and cost tradeoffs - Collaborative workflows that align demand, supply, and financial planning - ERP integration that works alongside existing systems of record Gain a faster TTV and lower TCO from faster decision cycles, improved forecast accuracy, and reduced reliance on manual processes. Organizations use these tools to respond more effectively to volatility, reduce excess and obsolete inventory, and improve service performance across complex SKU and location networks. All resulting in better ROI. Firstshift customers are: - Replacing spreadsheet-based demand planning processes - Improving forecast accuracy across high-SKU or multi-location environments - Managing volatility, seasonality, and promotional demand - Supporting S&OP and cross-functional planning workflows - Enabling faster, more confident planning decisions with lower operational risk Our platform is delivered on a cloud-native, continuously updated technology that works with imperfect data, deploys quickly, and compounds value over time rather than requiring periodic re-implementations or disruptive upgrades. Contact us at https://www.firstshift.ai/schedule-a-demo to learn how you can launch in weeks and see results in months.

Who Is the Company Behind AI Powered Demand Planning?

Algo

Algo is an AI-powered demand planning platform built for modern retail supply chains. It helps retailers, distributors, and manufacturers align forecasts, inventory, and pricing within a single, intuitive solution—so teams can respond to real-world demand with greater speed and accuracy. Unlike traditional supply chain software that can take a year or more to roll out, clients can be live on Algo in just 16 weeks. Our streamlined, all-inclusive implementation doesn’t rely on third-party integrators or external consultants. There are no hidden costs, no surprise add-ons—just a fast, efficient setup that gets you optimizing pricing, inventory, and forecasting from day one. Implementation is just the beginning. Algo provides ongoing, KPI-driven support to help your team continuously improve results. Whether your goal is to reduce stockouts, increase forecast accuracy, or improve pricing performance, our experts work alongside yours to ensure you’re not just using the software but getting measurable value from it. Algo also introduces the next evolution in decision-making: Generative Business Intelligence (GenBI). With GenBI, users can ask natural language questions, uncover predictive insights, and receive AI-powered recommendations—no more waiting on static reports or relying on external BI tools. It’s business intelligence, reimagined for speed and action. With Algo, you gain more than software, you gain a strategic partner committed to speed, simplicity, and sustained success across your entire supply chain. Whether you're managing seasonal demand, complex assortments, or channel-specific strategies, Algo gives you the tools and intelligence to make smarter decisions, faster. It’s built for how modern retail operates today and where it’s headed tomorrow.

Who Is the Company Behind Algo?

  • Seller: Algo
  • Year Founded: 2016
  • HQ Location: Troy, US
  • LinkedIn® Page: www.linkedin.com
    462 employees on LinkedIn®

Allodial Predict

Distributors rarely lose customers all at once. A contractor starts buying wire from the house across town. A facility moves its paper to a bigger supplier. An account goes from weekly orders to monthly. Nobody cancels anything, so nobody notices until the account is gone. Allodial Predict watches for that. It reads your order history from Epicor Prophet 21, Epicor Eclipse, QuickBooks Online or a CSV export, and learns each customer's own rhythm: how often they order, how much, and which product lines. When an account breaks its pattern, it shows up on your rep's list the next morning with the reason in plain words ("Orders every 9 days. It has been 23.") and the yearly revenue at stake. Before anyone calls, it checks your own records for what may have caused it: a price increase on items that customer buys, recent backorders, a rep change, or a normal seasonal dip. Allo, the built-in assistant, drafts the call or email. Your rep edits and sends it, then records what happened with one tap. Owners see which accounts were saved and whether flags got worked. It's read-only. It never writes to your ERP or replaces your CRM, and setup takes a day. The easiest way to judge it is a free Prospect Replay: send 18 months of order history and see every customer you lost last year, when it started, and when we would have flagged it.

Who Is the Company Behind Allodial Predict?

Alplanir

Alplanir is an agile self-service business planning, forecasting and data analytics software, providing flexible and on-premises solutions with advanced integration capabilities.

Who Is the Company Behind Alplanir?

Antuit.ai

Antuit’s demand forecasting and planning software provides an accurate demand planning solution using industry leading AI forecasting.

Who Is the Company Behind Antuit.ai?

  • Seller: ANTUIT
  • Year Founded: 2013
  • HQ Location: Frisco, Texas, United States
  • LinkedIn® Page: www.linkedin.com
    126 employees on LinkedIn®

BetterDemand

BetterDemand is demand planning and production scheduling software for mid-market food, beverage and consumer product manufacturers. It reads the exports your ERP already produces (Business Central, NetSuite, SAP or Excel) and gives planners three things in one system: a demand forecast by item, a finite schedule by line and shift, and a plain-English Agent that answers questions across both. Demand forecasting. The forecaster builds statistical forecasts from your sales history, with separate short-range and long-range models. It picks the best-fitting model for each item and backtests it against past periods, so planners can see how accurate it would have been. Planners can change the model, adjust or override the forecast, add promotion windows, and compare the forecast month by month against a forecast submitted by a customer or retailer. Forecasts can be set at the item level or the customer level and rolled up or down between them. For manufacturers with more than one plant, forecasts carry through to each location. Capacity and scheduling. The capacity module shows what each line can really make by shift, using your rates, crews, changeovers and efficiency. It checks every scheduled run against projected material availability, flags late purchase orders, and names the order whose timing decides the run. It respects a frozen horizon and shows how often the schedule wanted to break it. Where one plant is short and another has excess, it puts the transfer next to the purchase option. The Agent. Planners ask questions in plain English, such as whether the plant can take a new order and when. Answers come from your own schedule and orders, and each answer names the file and date it came from. Setup and data. Most teams are live in weeks. You send the files your team already exports, and a senior supply chain planner works the setup with you. Each customer gets a dedicated instance and its own database. Nothing is shared with another company, and customer data is not used to train a model. Pricing starts at $500 per month, with a year-one money-back guarantee.

Who Is the Company Behind BetterDemand?

Box

Who Is the Company Behind Box?

Bucephalus AI Demand Forecasting & Inventory Planner Optimization

Bucephalus uses the latest advancements in AI and massive data sets to tell omnichannel mid-sized and enterprise retailers how much inventory to buy, when, and where to place it to streamline their operations, increase their sales velocities, and convert inventory into free cash flows.

Who Is the Company Behind Bucephalus AI Demand Forecasting & Inventory Planner Optimization?

Daniel Rivera
DR
Researched and written by Daniel Rivera
Updated April 9, 2026