
CRM is the largest enterprise software category in the world—yet for most organizations, the investment never translates into proportional revenue. The reason is rarely the technology. It's adoption. When reps see the CRM as overhead, data quality erodes, forecasts drift, and the system meant to drive revenue becomes a cost center.
Coevera (formerly Pipeliner CRM) is the AI-native CRM engineered to fix that gap. By building development directly into the daily selling workflow, Coevera earns the adoption legacy platforms can't—because the system makes reps better, not just busier. Higher adoption means cleaner data, and cleaner data means forecasts you can actually take to the board.
For revenue leaders, the outcomes are concrete: a visual pipeline that flags risk and stalled deals before they slip, embedded account management and buying-center mapping to win larger strategic deals, and a revenue-intelligence loop that drives predictable revenue and forecast accuracy. The Automatizer workflow engine removes administrative drag, while native Model Context Protocol (MCP) support connects Coevera to your AI stack with full role-based permissions and no custom middleware—keeping IT and security onside.
Time-to-value is measured in weeks, not quarters, lowering implementation risk and accelerating ROI. And because every capability amplifies human judgment rather than replacing it, you protect the relationships and expertise that close deals.
For organizations that need CRM spend to show up in revenue, Coevera is the platform built for what's next.
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SKU Science offers a rapid and user-friendly approach to forecasting sales and monitoring performance effectively. You can establish your demand planning system in just two days! Developed by industry veterans, it caters specifically to operations managers, S&OP leaders, supply chain experts, and demand forecasting specialists. Featuring 644 statistical combinations, the platform provides highly precise and customized sales predictions at various levels. To enhance accuracy further, AI models can be tailored using your specific data. Key performance indicators are automatically calculated to emphasize the most vital elements, enabling you to concentrate on what truly impacts your supply chain and overall business success. The operational dashboards are updated with each cycle, facilitating effective activity tracking and informed decision-making. Combining sophisticated functionalities with user-friendliness, SKU Science is relied upon by clients in diverse industries such as manufacturing, food and beverage, healthcare, retail, and e-commerce, ensuring comprehensive support for their forecasting needs. The platform's intuitive design empowers users to navigate seamlessly, enhancing both productivity and strategic insight.
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Gong
Gong is a powerful AI-driven revenue platform designed to help businesses consolidate their revenue processes and refine their engagement strategies. By seamlessly integrating with current CRM systems, it delivers comprehensive customer insights, precise forecasting, and enhanced sales performance. The platform empowers teams by providing analytical intelligence on customer interactions, reducing repetitive tasks, and boosting overall productivity. With innovative features such as Gong AI and the Gong Data Engine, organizations can optimize their operations, elevate sales training, and achieve better business results. Additionally, Gong’s focus on data utilization ensures that teams can make informed decisions to drive growth.
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Backstory
Backstory is an AI-powered revenue intelligence platform built to give sales organizations deeper visibility into deals, accounts, pipelines, forecasts, and customer engagement. It connects with existing CRM, email, calendar, meeting, and sales applications to collect account activity without requiring representatives to manually enter every interaction. Calls, meetings, stakeholders, and other engagement signals can be automatically associated with the relevant opportunities and accounts. The platform analyzes this information alongside historical sales patterns to evaluate deal health and estimate the likelihood that an opportunity will close. Revenue teams can use the resulting insights to identify risks, stalled deals, missing contacts, coverage gaps, bottlenecks, and potential expansion opportunities. Stakeholder mapping helps sellers understand the people involved in each buying process and determine whether important decision-makers or influencers are missing. Backstory also generates deal-specific recommendations that suggest possible next steps based on buyer activity and the context surrounding an opportunity. AI sales coaching capabilities can help representatives evaluate their approach and improve execution without relying solely on periodic manager reviews. Sales leaders and revenue operations teams can use forecasting and pipeline management features to compare opportunities, monitor changes, and improve visibility into expected revenue. The platform also supports renewal and retention use cases by applying account activity intelligence to existing customer relationships. Backstory is intended for organizations that want to combine automated sales data capture with AI analysis to improve pipeline management, forecasting, account strategy, opportunity qualification, and day-to-day selling decisions.
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