Imagine walking into a car dealership, excited about buying your next vehicle. You’ve picked out the model, chosen the features, and even settled on a color. Then comes the painful part — the price. The salesperson disappears to ‘check with their manager.’ An hour later, they return with a quote, but now you want to tweak a feature. Another wait. Another round of approvals. Before you know it, you’ve spent half your day negotiating a price and you’re wishing you had just gone to the used car dealership down the street.
Now, apply this to B2B sales. Companies selling complex, configurable products — enterprise software, industrial equipment, telecommunications plans — face a similar challenge. Sales reps spend hours (or even days) navigating pricing structures, approvals, and discounts. Every delay increases the risk of losing the deal to a competitor who can generate an accurate quote faster.
Studies show that the first vendor to respond to prospects wins more deals, yet many businesses still rely on manual pricing processes or outdated CPQ (Configure, Price, Quote) systems that slow them down. Errors creep in, approvals bottleneck deals¹, and customers grow frustrated. The reality? Companies that don’t optimize their pricing process are leaving revenue on the table.
Sales professionals are using automated CPQ tools to provide prospects with quotes that include their product and service configurations², so the real question is: Are you missing out on potential revenue? If your competitors are already leveraging advanced CPQ solutions to generate faster, more accurate quotes, how many deals are you losing simply because your process isn’t keeping up? Modern CPQ systems powered by AI and automation eliminate inefficiencies, streamline pricing, and give sales teams a competitive edge. If your competitors are already using them, can you afford not to?
Quick Refresher on CPQ
At its core, CPQ software helps businesses generate accurate pricing for complex products and services, ensuring that sales teams can quickly create quotes without manual calculations or approval delays. However, while CPQ has improved efficiency for many organizations, traditional systems often fail to keep pace with the demands of modern sales cycles.
One of the biggest limitations of traditional CPQ systems is their reliance on static, rule-based logic. Most legacy CPQs struggle to adapt to real-time pricing trends, competitor movements, or customer-specific insights, leading to pricing inefficiencies and missed opportunities.
Additionally, approval bottlenecks remain a major issue, as many systems still require multiple layers of manual review before a quote is finalized, slowing down deal velocity.
Where is CPQ Headed Next?
The CPQ landscape is evolving fast, sales cycles are speeding up, pricing strategies are becoming more dynamic, and AI is changing how companies approach deal-making. To stay competitive, businesses need more than just a CPQ — they need one that’s built for the future.
One of the biggest shifts in CPQ technology is the rise of AI-driven pricing models. Instead of relying on rigid pricing rules, modern CPQs now analyze historical sales data, competitor pricing, and customer behavior to suggest the best price in real-time. This prevents unnecessary discounting, reduces quote leakage, and ensures that every deal is optimized for profitability. Boston Consulting Group reports that companies adopting AI-driven pricing strategies have achieved gross profit increases of 5-10% while also sustainably increasing revenue and optimizing customer value perception³.
Another big trend is the move toward subscription-based and usage-based pricing. More companies — especially in SaaS and cloud services — are shifting away from fixed-price models in favor of flexible, consumption-based billing. To keep up, CPQ systems must be able to adjust pricing dynamically, handle tiered pricing, and generate quotes that align with real-time usage. Without this flexibility, businesses risk losing customers to competitors that offer more adaptable pricing structures.
Finally, CPQ is becoming part of a bigger revenue operations strategy. More companies are integrating CPQ with Salesforce Revenue Cloud, Tableau, and other analytics platforms to track deal profitability and improve forecasting. By connecting CPQ with CRM and finance tools, businesses can streamline the entire sales process — from pricing to closing — while gaining real-time insights into revenue performance.
With 80% of sales professionals already using automated CPQ tools, the question is no longer whether CPQ is necessary — it’s whether your business is using one that’s built for today’s sales environment. The next step is upgrading to a modern, AI-powered CPQ solution that moves as fast as your deals do.
Speed and Adaptability Is the New Normal
Imagine a CPQ system that eliminates the delays, inefficiencies, and bottlenecks of traditional pricing tools — one that adapts to the speed of modern sales while optimizing every quote for profitability. What if your team could configure complex products in seconds, apply AI-driven pricing strategies, and generate quotes without waiting for manual approvals?
Now, take it a step further. Instead of relying on static pricing rules, what if your system could analyze real-time market trends, customer buying behavior, and historical data to suggest the best price — ensuring you never underprice a deal or lose revenue to unnecessary discounts?
Think about the impact of a CPQ solution that seamlessly integrates with your existing tech stack, whether it’s Salesforce, Commerce Cloud, or a headless e-commerce platform. A system designed to support both subscription-based and usage-based pricing models, giving your business the flexibility to adapt to modern billing strategies without hassle.
Speed equals revenue. Faster quotes mean faster approvals, higher conversion rates, and more deals closed before competitors even have a chance to respond. In a world where sales teams are expected to work smarter, not harder, relying on outdated CPQ systems is no longer an option.
With 80% of sales professionals already using automated CPQ tools, the question is no longer whether CPQ is necessary — it’s whether your business is using one that’s built for today’s sales environment. The next step is upgrading to a modern, AI-powered CPQ solution that moves as fast as your deals do.
This article was written by MYALO Corporation, experts in Salesforce optimization and integration. If you have questions about implementing advanced CPQ solutions or need help making your systems work smarter, we’d love to chat.
References
[1] 11 stats you need to know about CPQ (2022)
[2] What does CPQ stand for: improve sales with Salesforce CPQ (Updated 2025, not primary source but salesforce partner)
[3] Overcoming Retail Complexity with AI-Powered Pricing
