Next Quarter
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About
Next Quarter is an enterprise-grade sales intelligence platform designed to help organizations optimize their revenue potential through data-driven account management and predictive forecasting. By integrating generative AI into the sales workflow, the platform unifies disparate data sources to provide a comprehensive view of account health and growth opportunities. It operates primarily as a strategic layer that sits atop existing CRM data, helping sales teams move beyond basic tracking to actionable intelligence that drives deal velocity and improves win rates. The platform is structured into four core modules: Q-Pilot, Account Growth, Revenue Intelligence, and Financial Clarity. Q-Pilot leverages generative AI to perform contextual research across target and existing accounts, delivering unbiased insights aligned with customer priorities. The Account Growth module focuses on identifying upsell and cross-sell opportunities within the current customer base, ensuring no potential revenue is left on the table. Meanwhile, the Revenue Intelligence engine uses conversational data and sales patterns to generate predictive insights, and the Financial Clarity module provides real-time forecast accuracy to ensure operational stability and profitability. This solution is specifically built for large-scale sales organizations, revenue operations (RevOps) teams, and account executives who manage complex, high-value accounts. It is particularly effective for companies using Salesforce, as evidenced by its intuitive interface and positive feedback from global product managers at firms like Dell Technologies. By automating the research and planning phases of the sales cycle, it allows teams to focus on relationship building and strategic execution rather than manual data entry or account mapping. What sets Next Quarter apart is its proven ability to deliver high-precision forecasting, with customers reporting up to 97% accuracy in their predictions. Unlike traditional CRM tools that function as static databases, Next Quarter’s use of generative AI provides a dynamic, proactive approach to account intelligence. It doesn’t just report on what has happened; it provides the "why" and "how" behind account movements, helping teams shorten their sales cycles by significant margins while increasing the overall pipeline through deeper account penetration.
Pros & Cons
Achieves high forecast accuracy averaging 97% for predictive financial modeling.
Reduces sales cycle length by up to 26% through improved deal movement.
Generates unbiased, AI-driven contextual research for hundreds of accounts simultaneously.
Integrates well with existing Salesforce environments and sales methodologies.
Identifies untapped growth opportunities within existing customer accounts to increase pipeline.
Pricing information is not publicly available and requires a demo request.
The platform appears geared specifically toward large enterprises rather than small businesses.
Full functionality likely requires extensive historical CRM data to achieve high forecast accuracy.
Use Cases
Account Executives can use Q-Pilot to automate research and generate strategic account plans for high-value targets.
Revenue Operations managers can implement the Financial Clarity module to achieve 97% forecast accuracy across the organization.
Sales Leadership at enterprise tech firms can use the Revenue Intelligence engine to identify bottlenecks and accelerate deal velocity.
Customer Success teams can leverage the Account Growth module to pinpoint cross-sell and upsell opportunities within existing portfolios.
Platform
Features
• real-time forecast accuracy
• cross-selling & upselling analysis
• conversational ai insights
• account growth identification
• contextual account research
• predictive revenue intelligence
• strategic account planning
• q-pilot generative ai
FAQs
How accurate are the sales forecasts generated by Next Quarter?
Customers report an average forecast accuracy of 97%, allowing for high financial clarity and better operational planning. This enables leadership to make informed decisions based on data-driven predictability.
What is the primary function of the Q-Pilot module?
Q-Pilot uses generative AI to perform contextual research across target and existing accounts. It unifies scattered data into clear, strategic account plans that help sales teams identify key customer priorities.
Can Next Quarter help with identifying new business opportunities?
Yes, the Account Growth platform is designed to uncover untapped potential within existing customer accounts. Case studies show this can lead to a 53% increase in new business pipeline through contextual upselling.
How does the tool impact the speed of the sales process?
By providing AI-generated insights and improving deal movement visibility, users have experienced a 26% improvement in their sales cycle speed. This allows teams to close deals faster and increase win rates.
Which CRM platforms does it integrate with?
The platform is specifically noted for its intuitive use within Salesforce environments. It is utilized by Salesforce product managers at major corporations like Dell Technologies to streamline account intelligence.
Pricing Plans
Enterprise
Unknown Price• Q-Pilot Generative AI
• Account Growth module
• Revenue Intelligence engine
• Financial Clarity forecasting
• Salesforce integration
• Predictive deal insights
• Contextual account research
• Customizable sales methodologies
Job Opportunities
UI /UX Designer
Drive revenue growth and 97% forecast accuracy using generative AI to transform account data into strategic sales intelligence for enterprise sales and ops teams.
Education Requirements:
Bachelor’s or master’s degree in interaction design, interface design, human-computer interaction, or service design
Degree in graphic design with emphasis on UX or equivalent qualification
Any graduate with a degree in arts or diploma in designing
Additional courses in UI/UX
Experience Requirements:
2-10 Years of experience required
Two or more years of relevant industry experience designing applications and products
Other Requirements:
Portfolio of design projects
Strong interaction and visual design skills (Adobe CS, Miro)
Knowledge of rapid prototyping tools such as Adobe XD and Invision
Familiarity with agile software development processes
Responsibilities:
Gather and evaluate user requirements with product teams
Develop UI/UX mockups and prototypes
Adhere to product style standards on fonts, colors, and images
Create storyboards, user flows, process flows, wireframes, and site maps
Maintain a holistic and human-centered approach to product design
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Front End Developer(Mid/Senior/Principal)
Drive revenue growth and 97% forecast accuracy using generative AI to transform account data into strategic sales intelligence for enterprise sales and ops teams.
Education Requirements:
Relevant bachelor’s degree
Experience Requirements:
3-9 years of experience required
Working experience with React.js version 16+
Extensive experience with RESTful APIs
Experience building SaaS or other products
Other Requirements:
Strong proficiency in JavaScript (ES6) and DOM manipulation
Thorough understanding of React.js and workflows like Flux or Redux
Ability to write custom CSS (CSS3) and HTML5
Experience with common tools such as Babel, Webpack, and NPM
Proficient understanding of data structures, databases, and SQL
Responsibilities:
Develop new user-facing features using React.js
Build reusable components and front-end libraries
Translate designs and wireframes into high quality code
Optimize components for maximum performance across devices and browsers
Coordinate with the team working on different layers of the product
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Technical Test Lead
Drive revenue growth and 97% forecast accuracy using generative AI to transform account data into strategic sales intelligence for enterprise sales and ops teams.
Education Requirements:
Relevant bachelor’s degree
Testing certification (Preferably ISTQB)
Experience Requirements:
8-10 years of experience required
Minimum three years of hands-on experience in Java
Eight or more years of hands-on functional and automation testing experience
Prior test lead experience
Other Requirements:
Experience with Salesforce Metadata API and Lightning Web Components
Experience with CI tools like GitHub and Jenkins
Strong object-oriented programming skills in Java
AWS or Salesforce certification is advantageous
Understanding of security testing, AI, and machine learning
Responsibilities:
Lead QA efforts from requirements gathering to execution
Manage manual and automation QA engineers
Build automation/performance scripts with quality code
Integrate Selenium scripts with Jenkins
Maintain traceability of functional requirements to automation scripts
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Ratings & Reviews
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