Salesforce Einstein Analytics and Clari are the top two choices for enterprise teams. Salesforce Einstein Analytics suits organisations deeply invested in the Salesforce ecosystem seeking native AI forecasting, whilst Clari excels for revenue-focused teams needing pipeline intelligence with minimal configuration. Platforce offers exceptional value for mid-market sales ops teams.
RANKENTRYSCORETRENDFROM
2ClariAnalyses millions of deal conversations and activities daily to detect forecast risks.92.7NEWCustom 3InsightSquaredFocuses on process diagnostics alongside forecasting to improve deal velocity.90.3NEW$25 per user per month 5PipedriveProcess-first design encourages data discipline that naturally improves forecast accuracy.85.7NEW£10/month per user 6HubSpot Sales HubCombines forecasting with HubSpot's unified marketing and sales platform for complete customer view.83.3NEW£45/month per user 7Anaplan (SAP)Bridges sales forecasting with enterprise financial planning for unified revenue strategies.81.0NEWCustom 8Zendesk SellActivity tracking and deal scoring continuously improve forecast accuracy over time.78.7NEW£20/month per user 9NetSuite OpenAir (Oracle)Unifies project delivery, resource planning and revenue forecasting in single platform.76.3NEWCustom 10Forecast.appCombines AI with probabilistic forecasting to improve prediction accuracy by up to 40%74.0NEW$99/month The ranking, in detail
01
Native AI forecasting within Salesforce's trusted ecosystem
Salesforce Einstein Analytics leverages machine learning trained on billions of Salesforce records to predict sales outcomes, identify at-risk deals and recommend actions within the CRM platform.
From $10 per user per monthBest for Organisations already using Salesforce who want native, seamless AI forecasting
95.0
02
AI-driven revenue intelligence for pipeline clarity
Clari connects to Salesforce, HubSpot and other CRMs to deliver AI-powered deal and pipeline forecasts, real-time risk alerts and conversation intelligence that directly influences forecast accuracy.
From CustomBest for Revenue operations teams and sales leaders who prioritise pipeline visibility and deal hygiene
92.7
03
Predictive analytics and sales analytics for revenue growth
InsightSquared uses AI to forecast deals, identify sales process bottlenecks and recommend coaching actions, with deep reporting and predictive pipeline analytics across Salesforce and other systems.
From $25 per user per monthBest for Sales leaders and revenue operations teams needing comprehensive sales analytics alongside forecasting
90.3
04
Visual analytics and embedded AI for sales forecasting
Tableau CRM combines Salesforce Einstein AI with intuitive data visualisation to enable self-service forecasting, scenario planning and predictive modelling for sales teams.
From $55 per user per monthBest for Organisations wanting powerful visualisation alongside AI forecasting without proprietary tools
88.0
05
Sales CRM with intuitive pipeline management and engagement tools
Pipedrive uses machine learning to forecast revenue based on deal progress through visual sales pipelines, offering activity-based insights and probability weighting to predict likely outcomes.
From £10/month per userBest for Small to mid-market sales teams prioritising simplicity and visual pipeline management
85.7
06
Integrated CRM and sales engagement in one unified platform
HubSpot Sales Hub includes built-in deal stage probability, pipeline analytics and predictive AI that forecasts revenue by analysing deal velocity, historical close rates and activity patterns.
From £45/month per userBest for Mid-market companies and fast-growing teams seeking an integrated CRM-plus-engagement solution
83.3
07
Cloud planning platform with AI-driven sales forecasting
Anaplan, now part of SAP, offers connected planning with machine learning for sales forecasting, scenario modelling and what-if analysis integrated with enterprise financial planning systems.
From CustomBest for Large enterprises needing integrated sales forecasting within broader financial and operational planning
81.0
08
Lightweight CRM with engagement tools for fast-moving teams
Zendesk Sell provides activity-based forecasting using AI that learns from historical deal patterns to predict pipeline value and close probability, with integration to Zendesk customer service data.
From £20/month per userBest for Small to mid-market sales teams seeking affordable CRM with basic engagement features
78.7
09
Enterprise revenue forecasting within NetSuite ERP
NetSuite OpenAir combines project and resource forecasting with revenue prediction using AI integrated within Oracle's NetSuite cloud ERP for mid-market and enterprise organisations.
From CustomBest for NetSuite customers and enterprises needing integrated forecasting within their ERP system
76.3
10
AI-powered sales forecasting built for revenue teams
Forecast.app uses machine learning to predict sales outcomes by analysing historical deal data, win/loss patterns, and team performance metrics. It integrates with major CRM platforms to provide real-time forecast accuracy and pipeline visibility.
From $99/monthBest for Revenue operations teams seeking accurate, automated sales predictions
74.0
Frequently asked questions
What is the typical improvement in forecast accuracy when implementing an AI sales forecasting tool?
Most organisations experience 10-25% improvement in forecast accuracy within the first 6 months, though results vary based on starting data quality, team adoption and CRM discipline. Improvement accelerates as the AI model trains on more historical deal data and activity patterns specific to your sales process.
Do I need to replace my existing CRM to use an AI forecasting tool?
No. Most modern forecasting platforms integrate with leading CRMs (Salesforce, HubSpot, Pipedrive, etc.) without replacement. Some are built natively within CRM platforms (Einstein Analytics in Salesforce, Sales Hub in HubSpot). Choose based on your current CRM and whether you prefer native or third-party solutions.
How important is data quality for AI sales forecasting accuracy?
Critically important. AI forecasting tools are only as accurate as the input data. Organisations with consistent deal stage updates, complete activity logging and clean contact records see significantly better results than those with incomplete or stale data. Plan for data audit and hygiene improvement before implementation.