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Top 64 Demand Planning Software SaaS Companies in May 2026

As of May 2026, there are 64 SaaS companies in Demand Planning Software. They have combined revenues of $817.6M and employ 8.6K people. They have raised $649.8M and serve 1.5K customers combined.

Demand Planning Software is designed to help businesses accurately forecast future product demand based on historical data, market trends, and other relevant factors. This software enables organizations to create detailed demand plans that inform inventory management, procurement, and production strategies. Typical features include statistical forecasting, collaborative planning, and demand sensing, all aimed at enhancing decision-making and operational efficiency. The software is commonly used by supply chain managers, demand planners, and operations teams who require precise insights to align supply with anticipated customer needs. Common workflows may involve data analysis, generating forecasts, scenario planning, and collaboration across departments to ensure that strategies are aligned with actual demand. As businesses increasingly rely on data-driven decision-making, demand planning software has become an essential tool in various industries, including retail, manufacturing, and logistics.

Companies
64
Revenue
$817.6M
Funding
$649.8M
Employees
8.6K

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Top Demand Planning Software Companies

Showing 10 of 21 companies ranked by annual revenue.

1
paretos

Heidelberg, Baden-Württemberg, Germany

Paretos provides every company with access to cutting-edge AI technologies that were previously reserved for leading tech giants. With the help of Decision Intelligence, organizations can independently tackle complex challenges and gain a significant competitive advantage – without prior knowledge or the expertise of their own data scientists. Optimize complex operations with AI instead of using Excel. Increasing demand volatility, complex supply chains, and growing amounts of data require a better approach than manual analyses in Excel and relying on intuition: Paretos AI is the leading forecasting and optimization technology for controlling complex processes.

Revenue
$4.8M
Customers
-
Year founded
2020
Funding
-
Team size
44
Growth
-
2
Demand Driven Technologies

Atlanta, Georgia, United States

Demand Driven Technologies was founded in 2011 to help manufacturing and distribution companies build more responsive operations. Our Demand Driven supply chain solutions — the world’s first — continue to set an industry standard for reliability and performance. Headquartered in Atlanta, GA, we serve over 120 of the world’s most respected leaders in automotive, industrial, healthcare, consumer goods, and more. • The first to market with a suite of demand-driven software, Intuiflow: Materials Planning/ Sales & Operations Planning/ Scheduling & Execution • DDMRP software compatible with any enterprise ERP system • Global affiliates of Demand Driven Institute • Fully compliant across DDI certifications • Over 100 clients across multiple industries In a world with higher product complexity, increased pressure for leaner inventories, shorter product life cycles, compressed customer tolerance time, and less accurate forecasts, our mission is to enable our clients to win on the metrics that matter most: 🤝 Increase service levels up to 99% 📦 Reduce inventory by up to 45% ⏳ Compress lead times by up to 80% 💵Unleash working capital, optimize inventory and operational efficiency 📈 Improve due date performance, reduce variability, and stabilize schedules 💡 Easy and intuitive interface, regain control and focus on priorities instead of conflicting messages

Revenue
$4.6M
Customers
-
Year founded
2011
Funding
-
Team size
42
Growth
-
3
CrossCap

San Francisco, California, United States

We’re Crosscap. Leaders of enterprise marketing teams rely on our suite of solutions to transform their omnichannel campaign planning, management, and physical distribution. What are the results? Increased workflow efficiencies, reduced OPEX, and significant ROI. 𝗪𝗵𝗼 𝗮𝗿𝗲 𝘀𝗼𝗺𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗴𝗿𝗲𝗮𝘁 𝗿𝗲𝘁𝗮𝗶𝗹 𝗯𝗿𝗮𝗻𝗱𝘀 𝘁𝗵𝗮𝘁 𝘁𝗿𝘂𝘀𝘁 𝗖𝗿𝗼𝘀𝘀𝗰𝗮𝗽? Check out a few below: Walmart, Vera Bradley, UnderArmour, Ulta Beauty, Total Wine & More, The Children’s Place, Talbots, Sephora, REI, Pottery Barn, Macy’s, Levi’s Jeans, Kroger, Kohl’s, Home Hardware, Gap, Banana Republic, Ann Taylor, and American Eagle Outfitters. Pretty good partners, right? We’re also doing some cool things with printing companies, banks, casinos, and medical device companies. • 𝗗𝗼 𝘆𝗼𝘂 𝗼𝘃𝗲𝗿𝘀𝗲𝗲 𝗢𝗺𝗻𝗶𝗰𝗵𝗮𝗻𝗻𝗲𝗹 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆, 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴, 𝗼𝗿 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀? • 𝗔𝗿𝗲 𝘆𝗼𝘂 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝗳𝗼𝗿 𝗣𝗿𝗶𝗻𝘁 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻? • 𝗢𝗿 𝗮 𝗺𝗲𝗺𝗯𝗲𝗿 𝗼𝗳 𝗮𝗻 𝗜𝗻-𝗦𝘁𝗼𝗿𝗲 𝗩𝗶𝘀𝘂𝗮𝗹 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗧𝗲𝗮𝗺? Check out what’s possible with Crosscap’s solutions suite: 𝗗𝗶𝘀𝘁𝗿𝗼𝗣𝗥𝗢 uses intelligent store profiling to precisely calculate your in-store marketing distribution needs, substantially reducing your print and shipping costs. 𝗠𝗮𝗿𝗸𝗲𝘁𝗲𝗿𝗣𝗥𝗢 centralizes your omnichannel marketing plan by consolidating disconnected strategies, campaign data, and calendar views into one place, leading to stronger go-to-market alignment. 𝗕𝘂𝗱𝗴𝗲𝘁𝗲𝗿𝗣𝗥𝗢 saves you time and money by replacing spreadsheets to manage your marketing budgets better. 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗹𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗼𝘂𝗿 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀? Head over to our website and request a discovery call with us. “𝗖𝗵𝗮𝗻𝗻𝗲𝗹 𝗬𝗼𝘂𝗿 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴” with Crosscap, and you’ll simplify your life.

Revenue
$4.1M
Customers
-
Year founded
2001
Funding
-
Team size
37
Growth
-
4
Colibri

Boulogne-Billancourt, Île-de-France, France

Colibri is a Sales & Operations Planning solution that helps companies manage their demand, supply, distribution, forecasts, replenishments and S&OP processes. Colibri's main values are SMART, SAFE and SIMPLE. It's an easy to use solution hosted in the cloud Microsoft Azure.

Revenue
$3.1M
Customers
-
Year founded
2015
Funding
-
Team size
28
Growth
-
5
Delicious Data

Munich, Germany

Developer of a machine learning platform intended for demand forecasting and reduce food wastage. The company's platform is an algorithm that analyzes the sales history and combines it with external factors such as weather and vacation to calculate future sales and provide valuable support in the planning of purchasing and daily production, enabling restaurants to prevent the disposal of unused food and at the same time saves costs and reduce wastage.

Revenue
$2.9M
Customers
-
Year founded
2017
Funding
-
Team size
28
Growth
84.47%
6
Portcast

Singapore, Singapore

Owner and operator of a data analytics company intended to help logistics companies to provide accurate demand forecasts. The company's data analytics engine combines historical data with real-world uncertainties, continuously identifies patterns in the supply chain that disrupt demand and applies comprehensive machine learning models to dramatically improve prediction results, enabling customers with both a Web interface and an API for easy integration for their cargo.

Revenue
$2.6M
Customers
-
Year founded
2017
Funding
$3.2M
Team size
25
Growth
86.54%
7
SWARM Engineering

Irvine, California, United States

SWARM is the primary way for organizations to identify, define, and solve challenges. We are changing the way the world thinks about problem-solving. Our focus today is to help people solve operational challenges in their agri-food supply chain, for multi-million-dollar savings. We are a Software-as-a-Service platform using next generation AI to save costs, reduce waste, and deliver environmental benefits. We utilize a curated market of algorithms to tackle key processes such as labor planning, logistics, allocation (supply/demand), pricing and profitability management. Our solutions do not require any software coding, data science expertise, or knowledge of advanced AI or machine learning. SWARM is democratizing AI for the millions attempting to run businesses with excel or google. Try the SWARM Challenge Modeler for free here: https://community.swarmeng.net

Revenue
$2.4M
Customers
-
Year founded
2016
Funding
-
Team size
22
Growth
-
8
New Horizon Soft, LLC

Acton, Massachusetts, United States

At New Horizon Soft, we are bringing a more modern approach to supply chain planning software for manufacturers, wholesale distributors, retailers, and foodservice companies. Supply chain performance is becoming increasingly strategic, yet traditional software solutions remain difficult to use and complex to implement. New Horizon leverages the latest advances in artificial intelligence, machine learning, and cloud technologies to offer a more intuitive user experience and quicker, less expensive implementations. The result is superior service levels, lower inventory, faster time to value, and lower TCO. Our customers range from midsize firms to members of the Global 2000 and include innovative companies such as Aramark, Faribault Foods, and Golden State Foods. New Horizon supports its customers from offices in Boston, Minneapolis, and Dalian, China. New Horizon – Planning Made Easy™ To learn more, please visit us at www.newhorizon.ai

Revenue
$1.7M
Customers
-
Year founded
2015
Funding
-
Team size
15
Growth
-
9
Reckon.ai

Porto, Portugal

Provider of an inventory management software designed to help retailers to allocate the right products to the right store at the right time. The company's software helps to forecast the potential revenue for a selected store location based on demographics, competitive activity, customer purchase power and purchase behaviors, enabling retailers to make better predictions to control spending and increase returns.

Revenue
$1.6M
Customers
-
Year founded
2017
Funding
$1.8M
Team size
25
Growth
59.76%
10
Mercura AI

United States

AI Quote and Order Automation for Distributors & Manufacturers

Revenue
$1.5M
Customers
-
Year founded
2025
Funding
-
Team size
14
Growth
-

Inclusion Criteria

- Must provide capabilities for statistical forecasting and analysis of demand trends. - Should facilitate collaboration among various stakeholders to enhance demand planning accuracy. - Must enable scenario planning to evaluate different potential market conditions. - Should integrate with existing supply chain and inventory management systems for streamlined operations. - Not limited to just basic forecasting; must also include advanced features like demand sensing and pattern recognition. - Must allow real-time data processing to adapt plans based on changing market conditions. - Should support multiple forecasting approaches to cater to diverse business needs.