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 6 | Best Demand Planning Software: User Reviews from September 2026

Hakio

Hakio is an AI-powered demand forecasting and replenishment platform built exclusively for the fashion industry. It helps brands improve forecast accuracy, optimize availability, and reduce excess inventory by combining advanced AI models with the specific context of their business. Unlike generic solutions, Hakio is designed for the unique challenges of fashion, such as seasonal collections, NOOS (Never Out of Stock) programs, complex size curves, and demand fluctuations caused by campaigns, presales, and different sales channels. The platform integrates sales, inventory, and ERP data to deliver actionable suggestions that enable faster and more informed buying and replenishment decisions. With Hakio, fashion brands can increase forecast accuracy, improve product availability without overstocking, automate time-consuming manual processes, and gain a real-time overview of demand and inventory needs across collections and channels. Whether managing wholesale, e-commerce, or multi-channel retail, Hakio provides the clarity and control needed to plan purchases confidently, balance stock, and protect margins.

Average Rating: 4.8/5.0

Total Reviews: 2

How Do G2 Users Rate Hakio?

Inventory collaboration: 8.3/10 (Category avg: 8.6/10)
Forecast collaboration: 8.3/10 (Category avg: 8.5/10)
Comprehensive Planning: 7.5/10 (Category avg: 8.5/10)

Who Is the Company Behind Hakio?

Seller: Hakio
Year Founded: 2022
HQ Location: Aarhus, DK
LinkedIn® Page: www.linkedin.com
31 employees on LinkedIn®

Who Uses This Product?

Company Size: 100% Small

What Do G2 Reviewers Say About Hakio?

AI-generated summary from verified user reviews

Pros

Users highlight the user-friendly platform of Hakio, enabling quick onboarding and immediate value realization.
Users value the efficiency of Hakio, appreciating quick onboarding and accurate insights that enhance their planning process.
Users appreciate the responsive customer support of Hakio, ensuring quick and relevant assistance whenever needed.
Users highly value the forecasting accuracy of Hakio, which enhances planning efficiency and clarity in insights.
Users appreciate the user-friendly interface of Hakio, which enables quick value realization and efficient planning.

Cons

Users find the data export functionality of Hakio to be imperfect, particularly when using Excel.
Users find the limited customization options restrict their experience and reduce overall flexibility when using Hakio.
Users find technical issues like glitches and limited customization options hinder their overall experience with Hakio.

What Are Recent G2 Reviews of Hakio?

"Efficient and user-friendly Forecasting System with outstanding Support"

Rating: 5.0/5.0 stars

— Mette J.

Best Demand Planning Software - Page 6

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