What is Demand Planning Software?

Demand planning software (also known as demand forecasting software) automates the process of predicting consumer demand to optimize inventory levels. Demand forecasting entails analyzing buying behavior, seasonal patterns, and consumer trends to determine appropriate levels of stock. The ultimate goal is stock optimization—to not have too much or too little inventory. Achieving optimal inventory is an important business task because overstocking can lead to dead stock (or unused and unsellable products), which creates unnecessary carrying costs and sales losses. On the opposite end of the spectrum, a shortage of products can result in consumer frustration over sellouts and unavailable products. Demand planning software successfully resolves these issues using analytical tools and collecting point of sale (POS) data to anticipate the necessary size of future reserves. Forecasting metrics can thus inform supply chain management, inventory control, and sales and operations (S&Op) strategy.

What are the Common Features of Demand Planning Software?

Demand planning software solutions carry out the tasks involved in planning future inventory levels. Thus, all features of this software will in some way automate the process. Product portfolio management: Demand forecasting software must oversee the product lifecycle, from launch to end-of-life planning. Many products in a business’ portfolio are interdependent, so studying lifecycles in the context of an entire product mix is crucial. Understanding the portfolio mix, in turn, helps understand how demand for similar products affects the demand for another item. Statistical forecasting: Using historical data to create predictive models is a central feature of demand forecasting software. These algorithms are developed in a meticulous statistical process of evaluating outliers, exclusions, and assumptions. Linear regression is often used to accomplish this, and it entails taking previous demand levels, plotting them on a graph, and creating a “line of best fit” to help predict where demand will be in the future. Demand sensing: Incorporating seasonal patterns and current events in the projection of consumer demand is also part of demand planning software. Current events could include disruptions to the supply chain due to weather, infectious diseases, government regulations, and historical trends. Artificial intelligence (AI) and machine learning help accomplish this through inputting inflowing, real-time data into computer algorithms. Trade promotion management: Trade and marketing promotions naturally spark consumer interest and demand. Supply planning accounts for the likely increase in demand due to limited-time marketing initiatives, promotional tools, and pricing changes. Demand planning software will incorporate these into its statistical models. AI and machine learning: The difference between pen-and-paper supply chain planning that internal teams conduct and demand forecasting software is the presence of AI and machine learning to develop algorithms and statistical models. A core feature of this software is the ability of a computer to continuously incorporate real-time data and develop insights for effective supply chain strategies. Metrics: The final stage of demand planning is assessing results to determine the accuracy and effectiveness of the project, often quantified as key performance indicators (KPIs). Demand planning tools help businesses track the attainment of KPIs throughout and after the forecasting process. Some key metrics include forecast accuracy, inventory turns, fill rates, costs of goods sold, and order fulfillment lead times.

What are the Benefits of Demand Planning Software?

Demand forecasting software effectively automates the process of inventory management to react to changes in consumer demand. What once was an imperfect human process can now be accomplished through computer algorithms and AI. This entails the following benefits: Improved forecast accuracy: The most crucial aspect of demand planning is the accuracy of the forecast. Finetuned reporting means more insight into anticipated company revenue. In addition, this software can use the preciseness of a current project to improve future projects. For example, if the algorithm is repeatedly underestimating or overestimating demand, it can recalibrate until it more closely matches future consumer demand. Effective inventory levels: Achieving the perfect balance between overstocking and understocking is the end goal of demand planning. With proper forecasting of stock demand, a business can ensure warehouses and brick-and-mortar stores have enough stock to prevent sellouts, but not too much that products pile up and become unsellable. Effective replenishment of stock, thus, leads to greater revenue. Efficient production scheduling: When changes in customer demand are expected, businesses can better anticipate production scheduling, warehousing, and shipping. This is crucial because more streamlined warehousing leads to greater profits. Optimized labor scheduling: Labor is one of the most expensive costs associated with manufacturing, and planning systems help optimize this through allocating labor appropriately based on expected fluctuations in production. For example, more workers can be scheduled if a busy season is expected. On the other hand, a projection of shrinking demand would lead to fewer scheduled workers to prevent overpaying for labor. In addition, expectations on the timing of completion of projects can be set for employees to work toward when demand planning predicts a change in consumer demand. Effective product launching: For a new product to be successfully launched, its predicted demand must also be calculated. Demand forecasting solutions accelerate the idea-to-commercialization cycle by connecting high-level ideation with feasibility models and scenario-based profitability modeling.

Page 3 | Best Demand Planning Software: User Reviews from November 2026

Arkieva

Arkieva provides the tools needed to not just quickly re-plan but to also predict possible changes before they occur. Arkieva Software is an integrated demand planning software solution that makes it easier to collaborate, track performance, and forecast demand using the best demand forecasting methods. With over 15000 users worldwide using Arkieva in 250 unique applications, the Arkieva Supply Chain Planning Software Suite offers a robust solution supporting a full range of needs for Sales and Operations Planning (S&OP). The Advanced S&OP management features of Arkieva include a Collaborative Demand Manager, Inventory Planner, Inventory Analyzer, Supply Planner (full optimization), Replenishment Planner, S&OP Central, and Finite Scheduler. Arkieva is used in some of the world’s largest corporations, including Escalade Sports, Federal-Mogul, Gates, Linde, Linxens, Lush, Momentive, Nouryon, Ontex, Owens Corning, SPI Pharma, Sunsweet Growers, and Wonderful brands.

Average Rating: 4.1/5.0

Total Reviews: 13

How Do G2 Users Rate Arkieva?

Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.9/10)
Inventory collaboration: 8.3/10 (Category avg: 8.6/10)
Forecast collaboration: 8.3/10 (Category avg: 8.5/10)
Comprehensive Planning: 7.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Arkieva?

Seller: Arkieva
Year Founded: 1993
HQ Location: Wilmington, DE
Twitter: @Arkieva
492 Twitter followers
LinkedIn® Page: www.linkedin.com
124 employees on LinkedIn®

Who Uses This Product?

Top Industries: Telecommunications
Company Size: 64% Medium, 29% Large

What Do G2 Reviewers Say About Arkieva?

AI-generated summary from verified user reviews

Pros

Users find Arkieva excellent for demand planning and forecasting, enhancing their supply chain management efficiency.
Users appreciate the effectiveness in demand planning and forecasting provided by Arkieva, enhancing their decision-making processes.
Users find Arkieva excellent for forecasting accuracy, enhancing demand planning efficiency and decision-making processes.
Users find Arkieva's planning efficiency valuable for enhancing demand planning and forecasting accuracy.

Cons

Users note that the integration capabilities of Arkieva need to evolve for better functionality and support.
Users feel that integration issues hinder Arkieva's effectiveness, calling for better support and evolving capabilities.
Users express concerns over poor customer support, indicating a need for better assistance and system integration enhancements.

What Are Recent G2 Reviews of Arkieva?

"Emerging supply chain planning tool"

Rating: 4.0/5.0 stars

— Verified User in Consulting

Best Demand Planning Software - Page 3

How Many Demand Planning Software Products Does G2 Track?

Category Stats (Nov 2026)

How Does G2 Rank Demand Planning Software Products?

G2 Grid® for Demand Planning Software

How Do G2 Users Rate Arkieva?

Who Is the Company Behind Arkieva?

Who Uses This Product?

What Do G2 Reviewers Say About Arkieva?

Pros

Cons

What Are Recent G2 Reviews of Arkieva?

How Do G2 Users Rate Direct Tech?

Who Is the Company Behind Direct Tech?

Who Uses This Product?

What Are Recent G2 Reviews of Direct Tech?

What Are G2 Users Discussing About Direct Tech?

How Do G2 Users Rate Kinaxis?

Who Is the Company Behind Kinaxis?

Who Uses This Product?

What Are Recent G2 Reviews of Kinaxis?

What Are G2 Users Discussing About Kinaxis?

AI can help you find the answers. G2 helps you trust them.

How Do G2 Users Rate Pulsa?

Who Is the Company Behind Pulsa?

Who Uses This Product?

What Do G2 Reviewers Say About Pulsa?

Pros

Cons

What Are Recent G2 Reviews of Pulsa?

How Do G2 Users Rate Board?

Who Is the Company Behind Board?

Who Uses This Product?

What Do G2 Reviewers Say About Board?

Pros

Cons

What Are Recent G2 Reviews of Board?

What Are G2 Users Discussing About Board?

How Do G2 Users Rate Ganacos?

Who Is the Company Behind Ganacos?

Who Uses This Product?

What Do G2 Reviewers Say About Ganacos?

Pros

Cons

What Are Recent G2 Reviews of Ganacos?

How Do G2 Users Rate SAS Forecast Analyst Workbench?

Who Is the Company Behind SAS Forecast Analyst Workbench?

Who Uses This Product?

What Do G2 Reviewers Say About SAS Forecast Analyst Workbench?

Pros

Cons

What Are Recent G2 Reviews of SAS Forecast Analyst Workbench?

What Are G2 Users Discussing About SAS Forecast Analyst Workbench?

How Do G2 Users Rate Aptean Distribution ERP?

Who Is the Company Behind Aptean Distribution ERP?

Who Uses This Product?

What Do G2 Reviewers Say About Aptean Distribution ERP?

Pros

Cons

What Are Recent G2 Reviews of Aptean Distribution ERP?

How Do G2 Users Rate Getron AI Services (GaiS)?

Who Is the Company Behind Getron AI Services (GaiS)?

Who Uses This Product?

What Do G2 Reviewers Say About Getron AI Services (GaiS)?

Pros

Cons

What Are Recent G2 Reviews of Getron AI Services (GaiS)?

How Do G2 Users Rate MakerSights?

Who Is the Company Behind MakerSights?

Who Uses This Product?

What Are Recent G2 Reviews of MakerSights?

How Do G2 Users Rate Propago?

Who Is the Company Behind Propago?

Who Uses This Product?

What Are Recent G2 Reviews of Propago?

How Do G2 Users Rate Ramco Logistics?

Who Is the Company Behind Ramco Logistics?

Who Uses This Product?

What Do G2 Reviewers Say About Ramco Logistics?

Pros