8 AI Sales Forecasting Software and Tools in 2026

Traditional sales forecasting is more of a guesswork for any sales professional. With messy spreadsheets, outdated data, and gut feelings, chances are you will make inaccurate predictions and fail to meet your quota, affecting your business’s revenue growth.

So, how do you avoid this? The answer is simple — AI sales forecasting. In Salesforce’s Sales Report, high-performing sales teams are 10.5 times more likely than underperforming teams to experience a major positive impact on forecast accuracy with intelligent tools like AI.

They have revolutionized the B2B sales industry, providing sales teams with data-driven insights and creating accurate predictions to scale revenue growth. This guide further explores the concept and unveils the best 8 AI sales forecasting software and tools in 2025.

What’s an AI Sales Forecasting Software?

An AI sales forecasting software is a tool or technology that uses artificial intelligence and machine learning to analyze sales data and predict future trends. It analyzes historical sales data such as customer activity, pipeline value, deal size, and win rate to forecast future sales performance with high level of accuracy.

As a sales professional, you can use the tool to perform these key actions:

• Identify relevant leads who can have a significant impact based on the forecast
• Compare their actual sales to revenue projections
• Predict the amount of revenue they can generate in the future.

Once you have sorted these activities, you can use this tool to set realistic goals, prioritize your most promising leads, and make informed decisions to boost revenue growth.

An Overview Table of the 8 Best AI Sales Forecasting Software

The 8 Best AI Sales Forecasting Software

Let’s explore the top 8 best AI sales forecasting software you can consider in 2025.

1. Avoma

Source: Avoma

Use case: Best for revenue intelligence and AI sales forecasting

Overview

Primarily known as a revenue intelligence platform, Avoma can also help with AI sales forecasting to ensure accuracy and revenue predictability. It’s suitable for sales leaders, account executives, and SDR teams seeking to streamline their sales processes with valuable insights and improve sales performance.

Key Features

• AI Win/Loss Analysis: It analyzes your sales conversations — meetings, calls, and emails — to generate win/loss insights, refine your process, and close deals.
• Pipeline Report: It provides a weekly and monthly report of your sales forecasting activities to determine your pipeline growth.
• Integrations: Avoma integrates with third-party platforms like CRMs, dialers, video conferencing calls, calendars, and collaboration tools to streamline your sales workflow.

Pros

• Forecast Accuracy: Avoma delivers real-time updates and ensures accurate predictions to make informed decisions.
• Measures Performances: The sales forecasting platform tracks your team’s performance to predict what’s working and areas that need improvement.

Cons

• Robotic Message: AI can provide robotic answers to a team's needs.

Customer Review

“Sometimes the AI feedback can be very rigid and does not take into account variables of the call or flow of the call.” — Haley, M. on G2.

Pricing

Avoma’s revenue intelligence plan costs $99 per month.

2. Jiminny

Source: Jiminny

‍Use Case: Best for conversation intelligence and sales forecasting.

Overview

Jiminny is a conversation and revenue intelligence platform that analyzes conversation data to provide real-time updates about sales activities. It’s perfect for sales executives, sales managers, and sales representatives who want to track their winning or losing rates and enhance their sales performance.

Key Features

• Real-time update delivery: Jiminny helps to provide relevant answers to your sales team. For instance, it can find your most valuable lead that caused the biggest impact in your pipeline or identify the competitors you’re losing to.
• Detailed reporting: It tracks the team’s performance to provide reports about your forecasting activities.
• Integration: It integrates with various tools like CRMs, calendars, video conferencing platforms, and more.

Pros

• Visibility: Sales teams access accurate insights to make informed decisions.
• Efficiency: The tool integrates with other platforms for seamless data transfer with an existing system.

Cons

• Technical Issues: Jiminny suffers from technical glitches that make integration a bit difficult.

Customer Reviews

“The insights Jiminny provides are already proving to be invaluable, helping us better analyze our calls and refine our approach. The team has embraced the platform wholeheartedly, and “Asking Jiminny” has become a go-to step for reviewing deals and gaining actionable insights!” — Alan M.

“Sometimes it gets out of sync with other systems and stops working. Also, some numbers seem to be not accessible for some reason.” — Villain T on G2.

Pricing

Contact their sales team for a quote.

3. Weflow

Source: Weflow

Use Case: Best for Sales Forecasting and Workflow Automation

Overview

Weflow streamlines your sales forecasting process to obtain accurate predictions, increase visibility, and elevate your sales efforts. It’s ideal for sales executives, revenue operations, and sales teams seeking to generate actionable insights and create sales opportunities.

Key Features

• Sales Forecasting: Weflow tracks, submits, and reviews changes in your sales data to streamline the sales forecasting process.
• Sales Conversation Analysis: Weflow analyzes sales conversations like calls and emails to deliver accurate insights.
• Reporting and Analytics: Weflow measures your forecast every quarter or month to deliver accurate reports on your progress.

Pros

• Informed Decisions: Weflow offers real-time updates to guide your decision-making process.
• Efficiency: Weflow automates routine tasks to free time and improve your team’s productivity.

Cons

• Integration Issues: Weflow suffers a small lag when integrating with CRMs like Salesforce.

Customer Review

“Weflow has helped me forecast more reliably while saving a significant amount of time.” — Robert V.

Pricing

Weflow’s sales forecasting plan costs $30 per user per month.

Related: The Ultimate Guide to AI Sales Lead Generation

4. Revenue.io

Source: Revenue

Use Case: Best for Data-Driven Recommendations and Pipeline Visibility

Overview

Next on the list is Revenue. The sales forecasting platform leverages AI to generate real-time, data-driven insights for informed decisions. Sales teams can gain visibility into their pipeline growth and take actionable steps reinforced by data-driven recommendations.

Key Features

• Pipeline Visibility: Revenue provides real-time insights into your pipeline activities, enabling you to know the current state of deals.
• Data-driven recommendations: Revenue provides data-driven summaries and recommendations to ensure your team focuses on high-impact sales opportunities.

Pros

• Drives Efficiency: Revenue’s AI-generated summaries compile past interactions and stakeholder activities, saving time and allowing them to focus on other activities like closing deals.
• Improves Revenue Performance: Revenue’s data-driven recommendations allow sales teams to identify and prioritize high-value opportunities, increasing their chances of closing more deals.

Cons

• The sales forecasting platform features a steep learning curve, which may make adoption a bit difficult for sales professionals without technical knowledge.

Customer Review

“The suite of tools goes far beyond the dialer. The visibility it brings to our organization regarding the quality of sales activities and automating previously manual tasks is a huge benefit.” — Verified User on G2.

Pricing

Contact Revenue’s sales team for a quote.

5. Salesforce

Source: Salesforce

Use Case: Best for Enterprise-Level Sales Forecasting

‍Overview

Salesforce has sales solutions designed to cater to the needs of sales professionals. A popular one is Sales Cloud, which has built-in pipeline and forecasting features. Sales professionals can use this advanced forecasting tool for real-time pipeline visibility, predict revenue estimates, and perform complex sales operations.

Key Features

• CRM Dashboard: Salesforce’s CRM dashboard provides a comprehensive overview of your sales pipeline, showing the deals you can close and those that require more attention.
• Collaborative Forecasting: It builds and shares forecast information across various hierarchies within an organization.
• Built-in Reporting: This feature tracks your team’s performance, allowing teams to stay on track or make adjustments in their sales strategy.

Pros

• Centralized Information: Salesforce’s user-friendly dashboard centralizes all your sales data and allows you to adjust forecasts easily.
• Lead Management: Salesforce’s data-driven insights allow you to engage and manage your pipeline more efficiently, ensuring you don’t miss out on existing and future opportunities.
• Tracks Performance: With reporting and analytics features, sales can measure their performance and track future sales opportunities.

Cons

• Complex UI: With large sets of features, the platform UI is not easy to navigate and can overwhelm users.
• Expensive: The platform may not be affordable to small businesses and startups.

‍Customer Review

The features I like the most about Salesforce Sales Cloud are lead management for capturing leads from multiple sources & automating follow-ups, opportunity tracker for tracking potential sales, and prioritizing high-value deals in terms of revenue.” — Sayan H. on G2.

Pricing

Salesforce’s Unlimited plan starts at $330 per user per month.

6. Anaplan

Source: Anaplan

Use Case: Best for Sales planning and enterprise-level forecasting.

‍Overview

Anaplan offers a sales forecasting solution that generates accurate, data-driven predictions to help with informed decisions and improved performance. Sales teams get actionable intelligence to optimize pipeline management and enhance sales productivity.

Key Features

• Connect Planning with Forecasting: Anaplan links sales forecasts to other areas like finance and operations to ensure holistic planning.
• Enterprise-Level Forecasting: The platform provides a comprehensive overview of pipeline health and revenue projection for complex analysis across different areas.
• Reporting and Analytics: The platform utilizes key performance indicators such as velocity calculation, seasonal fluctuation, and trend-based analytics to measure the team’s performance.

Pros

• Real-Time Updates: Anaplan offers data-driven insights to make informed decisions and move with precision.
• Complex Processing: It can analyze large volumes of data and perform complex sales operations for enterprises.

Cons

• Non-Intuitive Features: Some features aren’t user-friendly and complex to navigate.
• Slow Performance: Users report slow performance, which can prevent users from harnessing the tool’s full potential.

Customer Review

“Most of my engagements on Anaplan have been around financial planning with very large and complex data sets. Anaplan's ability to allow you to slice, dice, and join data to calculate forecasts is something I haven't seen on any other platform at this scale.” – Brian, S. on G2.

Pricing

Anaplan’s pricing plan is based on request. Contact the team for a quote.

7. Salesloft

Source: SalesLoft

Use Case: Best for AI-driven Sales Forecasting

Overview

Salesloft offers forecasting capabilities designed to help sales teams get accurate predictions, take actionable steps, and optimize their pipeline health. It analyzes historical data and sales trends to understand the pipeline better and recommend data-driven suggestions to win more opportunities.

Key Features

• Forecast Segmentation: Sales teams can create forecasts and prioritize the ones that matter.
• Streamlined Rollups: This feature allows the sales teams to visualize their team’s performance and ensure everyone is on track.
• Weekly Trend Chart: Sales teams can see a weekly overview of their pipeline’s health and progress over a period of time.

Pros

• Automation: Salesloft automates manual tasks to boost sales productivity.
• Data-driven Insights: The sales forecasting platform offers actionable insights that sales reps can leverage to make informed decisions.

Cons

• Poor Customer Support: Salesloft doesn’t offer good customer service to solve customers’ issues or inquiries.
• Integration: Integration with existing and new sales systems may be challenging and require additional technical support.

Customer Review

“Salesloft streamlines the majority of my sales deals in a unified, user-friendly dashboard. I can easily track calls, emails, metrics, and follow-ups all in one place! This has made my sales strategy massively efficient, leading to more deals won.” — Charles, B. on G2.

Pricing

Contact SalesLoft's team for a quote.

8. Aviso

Source: Aviso

Use Case: Best for AI-driven sales forecasting.

Overview

Our final option on the list is Aviso. The AI sales forecasting tool is suitable for sales managers, revenue operations, finance, and marketing teams who want to obtain accurate revenue forecasts for improved sales performance.

Key Features

• Comprehensive Dashboard: Aviso’s dashboard provides visibility into your pipeline health, enabling you to identify patterns and trends and execute actions.
• Real-Time Update: Aviso analyzes data from every rep or sales activity to update sales forecasts in real-time.
• Integrations: Aviso integrates with third-party tools like CRMs, calendars, messaging platforms, video conferencing tools, and more.

Pros

• Ease of Use: Aviso is easy to use and navigate, enabling quick adoption for users.
• Accurate Insights: Aviso offers real-time, accurate insights to help the sales teams understand their pipeline health better and make informed decisions.

Cons

• Learning Curve: It features a steep learning curve, which may take time to understand and use effectively.
• Slow implementation: Aviso’s implementation process can take time and delay users from getting their tasks completed.

Customer Reviews

“Aviso is an exceptional tracking tool that supports managing a team and provides accurate forecasting for sales, allowing the sales team to focus on proactive selling rather than spending time on reports.” — Gerardo, L.

“Very easy to grasp my pipeline at a high level, and drill into the details if needed. Having a living dashboard saves me a ton of time, keeps me up-to-date, and makes my forecasting calls much better. The real analysis tools are surprisingly accurate and help me understand when to change course on deals unlikely to close in current form.” — Andrew, K. on G2.

Pricing

Contact the team for a quote.

Types of Sales Forecasting Software

Let’s explore the two types of sales forecasting software:

1. Quantitative Sales Forecasting Software

Qualitative sales forecasting relies on experts’ insights, opinions, and experiences to predict future trends. It utilizes a structured process where sales experts offer their opinions and judgment to reach a consensus forecast.

2. Qualitative Sales Forecasting Software

This sales forecasting software leverages data — historical data and current sales figures — to identify patterns and predict trends based on previous performances.

How to Choose the Right Sales Forecasting Software

With so many sales forecasting software tools in the market, there is a need to consider different factors to choose the right tool that fits your team’s needs and overall business goals. Here are some factors to keep in mind when vetting for the best option:

1. Intuitive Interface

A sales forecasting tool with a friendly user interface makes it easy for your sales teams to adopt and use. Consider a tool with a simple and detailed forecasting dashboard to easily navigate the tool and harness its full potential.

2. Integration

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A great sales forecasting software shouldn’t only analyze sales data but also connect with existing systems. Choose a tool that seamlessly integrates with third-party platforms, especially CRMs, spreadsheets, and accounting software, to transfer data easily. Selecting a tool that imports fresh third-party data helps to streamline your sales workflow and accommodate future changes. See how your sales forecasting model matches up with peers with our free lead magnet.

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3. Forecasting Methods

Every sales forecasting tool features a model by which it operates. Whether it’s time-series analysis, trend analysis, or pipeline sales forecasting, you’re best advised to select a tool that fits your team’s needs to improve productivity.

4. Reporting Capabilities

Real-time data and analytics are a necessary feature that any sales forecasting software must have. Look for tools that can create detailed and accurate reports so your sales teams can make informed decisions to improve performance.

Conclusion

There you have it. The top 8 AI sales forecasting tools your sales team can use to predict the future. Whether it’s making accurate predictions, intelligent pipeline management, or real-time analytics, these AI-powered platforms provide your business with data-driven insights that enable sales teams to make smart decisions and move with precision.

Partner with ColdIQ today to leverage different AI sales tools for your business growth. Book a demo today!

Frequently Asked Questions about AI Sales Forecasting

1. What is AI sales forecasting?

AI sales forecasting is a tool or technology that leverages artificial intelligence and machine learning to analyze sales data and predict future trends. Sales teams can use an AI forecasting tool to identify relevant leads and predict the amount of revenue they can generate in the future.

2. What is the best sales forecasting method for B2B sales?

Multivariable regression analysis is the best and most accurate sales forecasting method for B2B sales. It considers various factors like historical sales data, cycle length, individual rep performance, and opportunity stage probability.

3. Which AI model is best for sales forecasting?

Ensemble learning is the best model as it combines the results of different AI models to generate an accurate forecast. It’s ideal for analyzing complex datasets and helping companies reduce risks and improve sales forecasts..

4. What are the key features to look for in sales forecasting software?

As a salesperson, look out for key features like forecasting methods, user-friendliness, integrations, and reporting capabilities in a sales forecasting software.

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