AI as a Game Changer:

AI is reshaping the way professionals in technology services conduct business, enabling more accurate and efficient quoting processes.

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Importance of Historical Data:

Leveraging historical project data allows for smarter pricing decisions, enhancing both accuracy and margin clarity during the quoting phase.

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Shifting to Value-Based Pricing:

Organizations must transition from cost-plus pricing to value-based approaches, focusing on delivering measurable outcomes for clients.

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Integration with Existing Systems:

Successful implementation of modern CPQ solutions depends on seamless integration with CRM and financial systems to ensure accurate data flow and support ongoing service adjustments.

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Urgency for Modernization:

Companies using outdated methods, like spreadsheets, risk falling behind as industry competition increases with the adoption of AI technologies.