Best Demand Planning Software to Consider in 2025

Relying on spreadsheets, gut feelings, or last year’s sales data to predict demand might work for a while. But one day, you’ll crash, either by running out of stock when customers need it most or drowning in excess inventory that kills your cash flow. That's why you can't do manual demand forecasting and planning for your Shopify store.

To get stock levels right every time, businesses need a dedicated demand planning software that helps forecast accurately, adjust stock levels across locations, and reorder the right products at the right time. Simply put, it enables you to go from reactive to proactive mode.

This guide breaks down the best demand planning software available in the market for D2C and B2B businesses and brands, covering key features, pricing, and what to consider before making the right choice.

The Comparison of the 13 Best Demand Planning Software & Tools

‍13 Best Demand Planning Software for Accurate Forecasts

We’ve carefully curated a list of the top 13 demand planning apps for Shopify stores, based on features, reviews, and scalability.

No.1 👉 Prediko's AI Demand Planning Software

TL;DR: Prediko is an end-to-end inventory management and planning app for Shopify brands that allows you to plan inventory for both finished goods and raw materials

5.0 ⭐ (150+ Reviews on Shopify Store)

See Prediko in action

We have kept ourselves at the top of this list because we are an end-to-end inventory management and planning app for Shopify brands that allows you to plan inventory for both finished goods and raw materials. It offers you the ability to execute the next steps, such as creating purchase or production orders, directly from within the app.

Trusted by brands managing over 25 million SKUs across 25+ industries, Prediko scales with your business, consolidating all sales and inventory data in one place, including multi-store, multi-warehouse, bundles, and subscriptions.

Key features

• AI-Demand Planning: Prediko deeply integrates with Shopify to pull in all your data. Simply set a sales or revenue target, and the tool will automatically generate monthly forecasts based on seasonality, growth trends, and historical data. You can learn more about how Prediko leverages AI in demand planning to automate and improve forecast accuracy across SKUs.

• Make edits to your plan based on your revenue target for the year or any planned campaigns.

• Production Planning: If you manufacture your own products, Prediko has got you covered. You can easily link the demand plan of the finished goods SKUs to the raw materials and get an overview of the material that needs to be reordered on time.

• Buying Table: Once you're satisfied with your plan, Prediko identifies the SKUs that need to be purchased to achieve your target.
  Make data-backed purchases using 90+ buying metrics and get inventory health and restock alerts across products and SKUs to maintain optimal stock levels.

• Purchase Orders Management: Create POs in a click based on your plan. Track outstanding and incoming POs in real-time and communicate with suppliers through in-app emails. Plus, your inventory gets automatically updated in Shopify upon receiving stock.

• Analytics and Restock Alerts: Monitor key inventory metrics like net sales, inventory value, inventory retail, and average days left. The automated restock alerts and nudges help you purchase the right quantity at the right time.

What we are proud of

Prediko helps Shopify brands replace current apps or spreadsheets with an AI planner that forecasts demand, triggers restock alerts (finished goods + raw materials), and reduces stockouts/overstocks, with one-click Shopify store integration. We power demand planning for 1000+ Shopify stores such as Kimaï, Motel Rocks, TM Lewin, LabFresh.

What makes Prediko Unique

Prediko is built specifically for Shopify operators, combining forecasting + replenishment actions in one place and extending beyond finished goods into raw material planning, so teams go from “insights” to “what to order next” without living in Excel.

Pricing

Plans start at $49 per month (billed annually)

Free Trial

14-day free trial available.

G2 User Ratings: 4.9/5

2. Automyze Inventory Planning

TL;DR: Next up is Automyze, a Shopify app that helps businesses automate and customize inventory demand plans.  It offers pre-built methods for different suppliers and locations, along with automated reports and KPIs.

Key Features

• Customizable settings for demand forecasts
• Ability to create open-to-buy plans for cost, retail amount, or units
• Recommended suggestions and alerts on reorder quantity and timing
• Analytics to track sales and inventory KPI

What we like about Automyze

The platform is modular, forecasting, analytics, reporting, and stock alerts can be added as needed. This makes it flexible for lean teams that want to scale gradually rather than adopt a heavy, all-in-one system at once.

What could be improved
Brands needing a full suite of forecasting, analytics, and alerts may find the modular pricing structure stacking up. Manufacturers or multi-entity businesses may need deeper operational features.

Pricing

Feature-based pricing with forecasting plan priced at $69.99 per month

Free trial‍

7-day free trial available.

3. Datup AI Demand Planning Software

Datup is an ai-powered demand planning software that optimizes supply chain operations.

It is the best option for companies with ERP systems, managing thousands of SKUs across multiple locations, and looking to improve their forecasts, increase service levels, and reduce stockouts.

Key features:

• Datup's demand planning software delivers forecasts with up to 95% accuracy for products, product categories, or locations.
• Forecasts with up to 7 scenarios (baseline, optimistic, pessimistic, collaborative, and more).
• Compare actual vs. forecasted demand in units and value for different time horizons.
• Collaborative forecasting in a single dashboard for marketing, sales, and other teams (S&OP/S&OE).
• Forecasts for new products or upcoming launches.
• Portfolio classification with ABC, XYZ (stability), and FSN (turnover velocity) analysis so you can prioritize the products that most impact your revenue and cash flow.

What we like about Dataup

Its AI assistant (AlaiA) lets planners ask questions conversationally and run scenarios instantly. Datup automatically generates optimistic, base, and pessimistic forecasts and pushes structured outputs back into ERPs.

What could be improved?

Datup is built for mid-market and enterprise environments, so smaller DTC brands may find it heavier than needed. Setup requires collaboration with Datup’s team rather than simple self-serve onboarding.

Pricing

Datup offers a monthly subscription model that adjusts to the modules purchased and the complexity of your operation.

Datup's software has no user limits and customers pay monthly, with no implementation costs or hidden fees.

Free trial‍

No free trial available.

4. Flieber Inventory Planning

TL;DR: Flieber is a multichannel inventory planning platform designed to help Shopify brands make inventory decisions.

By connecting to your sales, inventory, and supply chain data, the app offers visibility and precise recommendations to optimize stock levels useful for brands comparing demand forecasting solutions.

Key Features

• AI-based, omnichannel (marketplaces, DTC and wholesale) sales forecasting
• Multichannel inventory forecasting, anomaly-adjusted & consolidated by warehouse
• Reorder recommendations (for bundles, backorders, as well)

What we like about Flieber

Its AI-native approach includes a replenishment advisor and transformer-based modeling built for complex operations.

What could be improved

Flieber is powerful but best suited for established multichannel brands. Very small teams or single-channel stores may find the setup and feature depth more than they need.

Pricing

Plans start at $209 per month for up to 2 users.

5. Monocle AI Inventory Forecasts

TL;DR: Monocle is AI-powered demand planning software that calculates reorder points and predicts stock-out dates.

It helps you make decisions about safety stock and eliminates manual forecasting, saving employees time and resources.

Key Features

• Predict future demand across the entire product catalog
• Automated sales pattern detection
• Recommendations for reorder quantities and times

What we like about Monocle

Along with forecasting, it offers product affinity analysis to guide bundling and merchandising decisions. It combines demand intelligence and planning in one lightweight tool.

What could be improved‍

It’s built for DTC and Shopify, so businesses requiring wholesale, multi-entity manufacturing, or ERP-heavy operations may outgrow it.

Pricing

Plans start at $47 per month for up to 600 orders.

Free trial‍

7-day free trial available (Shopify App Store).

6. Qoblex Inventory Management

TL;DR: Qoblex is an inventory management software that comes with an intuitive interface.

It gives a real-time view into current and optimal inventory levels to help Shopify merchants make proactive purchase decisions.

Key Features

• Forecasting based on different parameters
• Real-time current, low-stock, and incoming stock reports
• Historical view of transactions related to products and variants
• Daily, weekly, and monthly sales report

What we like about Qoblex

Features like batch/lot tracking, expiry management, BOMs, and production workflows make it suitable for regulated categories and light manufacturing. It bridges daily operations with planning.

What could be improved

Because it aims to be an all-in-one solution, setup can be heavier for small Shopify-only brands. Advanced AI forecasting exists but isn’t the primary emphasis.

Pricing

Plans start at $79 per month

‍7. Sensible Inventory Forecasting

TL;DR: Sensible is a forecasting tool that helps predict demand and stay on track with your inventory plan.
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It allows you to set rules (such as lead times and days of stock per product) to establish reorder points.

Key Features

• Inventory status to know when products need to be reordered
• Reordering quantity suggestions based on previous sales history
• Ability to add multiple suppliers for a single product
• Get weekly email inventory reports
• Export forecasting as .csv or .xslx

What we like about Sensible

It prioritises transparency over automation, operators see the logic behind forecasts and adjust on the spot. Exportable recommendations and simple PO workflows make it ideal for small stores.

What could be improved‍

Sensible isn’t an AI platform, and it doesn’t support complex multi-location or wholesale scenarios. Analytics and collaboration features are minimal.

Pricing

Plans start at $29 per month

Free trial‍

30-day free trial available.

8. Assisty

TL;DR: Assisty is an AI-powered inventory management and planning tool designed for multi-store, multi-location businesses.

It offers demand forecasting, stock reorder suggestions, and customizable settings to set up reorder points.

Key Features

• AI restock predictions (including bundles) based on historical data and demand
• Data integration with multiple Shopify stores for integrated planning
• Inventory performance metrics, including sell-through rate, turnover ratio, etc
• Customize and schedule reports depending on business needs

What we like about Assisty

It combines demand forecasting with automated PO creation and real-time stock health dashboards. The AI engine flags issues early, so operators don’t have to monitor everything manually.

What could be improved

Assisty is built for Shopify, so businesses running multiple parallel systems or more complex supply chains may require additional planning tools.

Pricing

Depends on the Shopify Plan you’re on, with the Basic Shopify plan starting at $19 per month.

Free trial

14-day free trial available

9. Logility AI-First Supply Chain Management

Logility is advanced demand planning software that uses AI and machine learning to improve forecasting accuracy, optimize inventory, and maximize supply chain efficiency.

It helps you anticipate demand fluctuations and align operations for better decisions.

Key Features

• Scenario planning to test different plans
• Automatic detection of anomalies in historical demand
• Detect short-term buying patterns based on market-based demand information to
• Real-time visibility and insights into shorter-term demand

What we like about Logility

It blends machine learning with generative AI, giving planners the ability to run scenarios and ask natural-language supply chain questions. Driver-based forecasting sets it apart from traditional statistical tools.

What could be improved

Logility is built for global enterprises with multi-entity operations. Early-stage or mid-market DTC brands will find it far too large in scope.

Pricing

Available on request

Free trial‍

No free trial available.

10. Oracle Fusion

TL;DR: Oracle Fusion Demand Planning helps eCommerce brands predict demand and manage inventory by using real-time data and automation. It integrates with other Oracle applications to accurately forecast, reduce stock issues, and improve supply chain decisions.

Key Features

• Evaluate baseline, trend, seasonality, and causal forecasting components by segment
• ML to track collinearity, anomalies, level shifts, price changes, holidays, and event
• Adjust forecasts to include business knowledge and exception
• Forecasts for configure-to-order products
• Monitoring and diagnosis of root causes of demand forecast errors

What we like about Oracle

‍Forecasting models incorporate segmentation, promotional impact analysis, and multi-source signals. It connects tightly with execution systems so planning flows into supply management.

What could be improved

Oracle Fusion is not designed for DTC or Shopify environments. Implementation, training, and governance requirements are

Pricing

Available on request

Free trial‍

No free trial available.

11. SAP Business One In

TL;DR: SAP Demand Planning helps you forecast demand using AI, real-time data, and predictive analytics.

It allows for better inventory management, reduces stockouts, and adds a layer of collaboration across the supply chain.

Key Features

• Time series, regression models, and machine learning to create forecasts
• Ability to collaborate on forecasts across multiple groups in your company
• Generate new product forecasts, even when historical data is not available
• Visibility into order patterns and demand signals to refine forecasts

What we like about SAP
Built-in forecasting and material planning tools help manufacturers and distributors run production and replenishment workflows without separate planning systems.

What could be improved
Forecasting isn’t AI-driven, and the UI feels dated compared to modern SaaS platforms. DTC brands often need connectors or additional planning layers.

Pricing

Available on request

Free trial‍

No free trial available.

12. Unison Planning by OMP

TL;DR: Next up is Unison Planning which offers granular demand planning across short- and long-term horizons. It integrates real-time data and AI-powered insights while facilitating teamwork with its integrated and collaborative models.

Key Features

• Pattern identification for forecasting  
• Flexible aggregation and disaggregation
• Create one plan with adaptable views for different types of users
• Forecast by value, shaping demand on volume and value
• Analyze forecast accuracy and act with deviations

What we like about Unison‍

OMP’s AI components (UnisonIQ) support proactive planning through autonomous agents, advanced optimization, and digital twins that simulate supply chain conditions.

What could be improved

It’s best suited to very large companies with multi-layered supply chains. The platform is not built for small or Shopify-only brands.

Pricing

Available on request

Free trial‍

No free trial available.

13. Anaplan

TL;DR: Anaplan is a business planning platform that helps you predict demand, adjust inventory, and align supply chain operations using real-time data and advanced forecasting models.  The tool enables cross-functional collaboration, scenario planning, and AI-driven insights to improve accuracy and responsiveness in demand planning.

Key Features

• Forecast your quantity, prices, attach rates, and discounts
• Ability to plan for seasonality, intermittent demand, and multilinear regression
• Fine-tune and test multiple planning scenarios against each other

What we liked about Anaplan‍

It allows planners to model demand using flexible formulas while leveraging ML models like Prophet, DeepAR+, and TimesFM. AI assistants help teams query the model in natural language.

What could be improved‍

Anaplan requires model builders and governance, making it more suitable for enterprises. Out-of-the-box ecommerce or DTC workflows are not the primary focus.

Pricing

Anaplan offers pricing on request

Free trial‍

No free trial available.

What Makes a Demand Planning Solution Truly Effective for Inventory and Forecasting

Now, as you explore different options, keep the following things in mind to find the best demand planning software for your business needs.

1. AI-powered forecasting

Your demand planning software should predict demand on the basis of historical data, seasonality, and trends, using AI algorithms as these can process large amounts of data to generate accurate forecasts.

It should allow for granular planning and forecasting, with a collaborative approach that enables you to edit AI-generated plans. Prediko is a great example of such an app as it offers the flexibility to fine-tune AI-created plans, combining human judgment with AI algorithms for precise forecasts.

2. Real-time inventory tracking

Real-time inventory tracking is essential to plan demand effectively, as you get accurate, up-to-date information on current stock levels.  Having this instant visibility allows you to make smarter, more timely decisions and forecast demand more accurately based on current inventory.

3. Reorder recommendations

Reorder recommendations are also important as they help Shopify stores adjust inventory levels by indicating when and how much stock needs to be restocked.

This feature uses historical sales data, trends, lead times, and forecasted demand to suggest accurate reorder quantities and timings so that stock is replenished on time to meet customer demand, without unnecessary overstocking or stockouts.

4. Purchase order management

A strong demand plan is nothing without action. Your software should allow you to create or automate purchase order generation based on forecasted demand.

This ensures that the right products are ordered at the right time, reducing stockouts and delays. You must also be able to track and monitor all purchase orders in real-time so that you get visibility into your supply chain, allowing you to adjust future orders accordingly.

5. Production planning

For Shopify stores involved in manufacturing, production planning is a critical feature of demand planning software.

By aligning raw material demand with forecasted customer demand for finished goods, you can better plan your production schedules. This minimizes waste, avoids delays, and ensures that production capacity is used efficiently.

6. Multi-store and multi-warehouse support

Demand planning becomes much more complex when managing multiple stores or warehouses.

Your chosen demand planning software must consider all locations and warehouses in your demand planning process so that you can plan for transfer between locations to meet demand in real-time, preventing any location from running out of stock.

7. Integrations

Demand planning software must integrate seamlessly with other tools (e.g., Shopify POS, ERP, accounting platforms) to create a unified ecosystem for data sharing and analysis.  

With integrations, you can ensure that the demand forecasts are based on the most accurate and comprehensive data available. This also allows for better collaboration between departments involved such as finance, procurement, and sales.

8. Analytics

Analytics is a vital aspect of demand planning as it helps you refine and adjust future forecasts.

With insights into sales trends, sell-through rates, inventory turnover ratios, and inventory performance, you can generate more accurate demand forecasts. This helps you refine promotions, marketing, and other related strategies.

All these features are interconnected and form the backbone of an effective demand planning software. Each one contributes to making the demand planning process more efficient, accurate, and aligned with actual business needs.

What Are the Key Benefits of Using Demand Planning Software

A demand planning software solves all the headaches of manual planning and adds a layer of intelligence to your inventory operations.

Here’s how the usage translates into business outcomes.

• Accurate forecasts: Demand planning software uses advanced algorithms and machine learning to analyze large datasets and provide real-time insights. This reduces the risk of human error and poor judgment in forecasts.

• Proactive decision-making: With real-time visibility into demand trends, inventory levels, and supply chain activities like incoming POs, you can proactively respond to customer demand, market changes, and supply chain disruptions, and negotiate better terms with suppliers.

• Unified operations: Demand planning software allows better communication and collaboration across teams, such as sales, marketing, procurement, and finance. With shared visibility, it ensures everyone is working with the same information.

• Cost savings: Accurate demand planning reduces waste, lowers storage costs, and minimizes the need for emergency orders. It also helps avoid overproduction or underproduction, leading to cost savings across the supply chain.

• Scalability: Demand planning software grows with your business, handling increased complexity like larger product catalogs, multiple sales channels, or global stores, while ensuring accurate and efficient planning.

Also both demand planning and supply planning might look the same terms, but there is a difference between supply planning and demand planning. So it's upto you to decide to select the right software to solve your problem.

What are the Key Challenges Solved by Right Demand Planning Software

Below are some common challenges Shopify businesses face that rely on manual demand planning.

1. Lack of real-time data

Demand fluctuates constantly –seasonal trends, market shifts, and unexpected spikes in sales can catch you off guard when you rely on static spreadsheets or outdated reports. For example, if a product suddenly starts trending due to a viral TikTok video, manual processes won’t catch the spike in time, leaving you struggling to restock while competitors swoop in to capture sales.

2. High risk of human error

Manual processes heavily depend on people entering, updating, and analyzing data, leaving room for errors such as miscalculations, duplication, or missing entries.

For instance, your demand planner might feed an extra zero while updating the sales plan, predicting 10,000 units instead of 1,000. As a result, the procurement team places an unnecessarily large order, tying up your cash in excess inventory that takes months to sell.

Such issues lead to unnecessary expenses, frustrated customers, and lost revenue.

3. Reactive, not proactive

Manual demand planning often forces businesses into a reactive mode, where decisions are made in response to issues after they’ve already occurred, rather than anticipating and preventing them.

This reactive approach stems from the time-consuming nature of manual processes, which delay the analysis and interpretation of data. By the time a trend is recognized, competitors have already capitalized on it. This also makes it hard to launch new products as you lack real-time data to detect the early demand.

4. Stockouts and overstocking

Manual demand forecasting isn’t just inefficient, it’s costly.

Outdated and inaccurate forecasts often make it difficult to maintain the right stock levels leading to stockouts that result in lost sales and customer dissatisfaction.

Or overstocking that ties up capital in unsold goods, causing cash flow issues and increased storage or wastage costs.

For example, a retailer planning for the next quarter might manually estimate demand based on the last quarter’s sales, failing to account for new trends or seasonality.

5. Poor collaboration across teams

Demand planning is a cross-functional process that requires input and coordination from various teams, including sales, marketing, operations, and procurement.

These teams often use different tools, spreadsheets, or communication channels creating data silos that translate into misaligned priorities, slow internal workflows, and poor customer-facing outcomes.

For instance, the marketing team running a promotion that the procurement team has no visibility into causes a sudden spike in demand leading to unexpected stockouts and lost sales.

Frequently Asked Questions (FAQs)

What are the top 5 demand forecasting tools?

Some of the top demand forecasting tools include Prediko, Qoblex, Anaplan, Oracle Fusion Cloud, and Assisty, each offering advanced features and automation for accurate forecasting.

What is demand planning software?

Demand planning software helps businesses automate the prediction of future demand using historical data, market trends, and AI-driven insights. This helps adjust the inventory levels, reduce stockouts, and save costs.

What is the best way to forecast demand?

The best approach combines historical sales data, real-time market trends, and predictive analytics while integrating inputs from sales, marketing, and external factors like seasonality.

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