Best Pricing Optimization Software for NetSuite

Implement pricing adjustments quickly without requiring engineering resources. Investigate any shortcomings in your current pricing strategy, test various pricing models, and roll out new pricing options in just a few days instead of the typical months. Prepare for a lengthy 6-8 month collaboration across different teams, where you must manage invoicing and billing alongside finance to prevent disruptions, seek engineers' assistance even for minor code alterations, and coordinate with the sales department to ensure the new pricing integrates smoothly into their existing CPQ and workflows, which can create significant challenges. Togai offers the essential monetization suite that allows you to refine and implement pricing strategies independently of other teams. With Togai, you can simulate fresh pricing options, monitor usage metrics, configure or plan bespoke pricing models, automate your revenue processes, and gather valuable insights regarding your pricing structure, all achieved with minimal effort. Utilize our pricing simulator to explore various pricing models and plans based on your actual data, enabling you to make informed decisions quickly. This streamlined approach not only saves time but also enhances your ability to adapt to market demands efficiently.

SAP CPQ, previously known as CallidusCloud CPQ, enhances the customer journey by equipping your sales personnel and partners with the capability to manage intricate product configurations, streamline pricing, and create visually appealing proposals. With the SAP CPQ platform, you can ensure that customers receive the most suitable product at the ideal price and moment, thereby accelerating sales across various channels through seamless integration with any CRM or ERP system. By enabling sales representatives to expedite transactions across multiple platforms, the solution helps eliminate ordering mistakes, produce proposals in real-time, and tailor pricing for specific customers and channels. This integration fosters intelligent and streamlined sales processes that expedite quote generation, simplify approval workflows, shorten sales cycles, and allow staff to concentrate on driving sales. Additionally, it enhances business intelligence to capitalize on sales opportunities, boost cross- and up-selling efforts, and fine-tune pricing strategies while safeguarding profit margins. Ultimately, implementing SAP CPQ can lead to a more efficient sales environment that drives growth and enhances customer satisfaction.

Our comprehensive data infrastructure solution empowers software companies to effectively implement and manage usage-based pricing models. By streamlining billing operations, businesses can enhance their pricing strategies and sales efforts. This infrastructure is designed to efficiently ingest, transform, and store usage and cost data on a large scale. It allows for the configuration of complex pricing structures, aggregation of data, and real-time calculation of billing amounts. Furthermore, it ensures the delivery of usage, cost, and expenditure data throughout the entire technology stack in a timely manner. m3ter serves as a seamless 'drop in' platform, featuring intelligent integrations with existing tools that facilitate effective usage-based pricing. With an API-first approach, m3ter offers scripting capabilities and 'pricing as code,' allowing developers to achieve higher automation levels. As a managed cloud service, m3ter adheres to stringent standards for security and operational excellence, making it suitable for large enterprises. Ultimately, all these features hinge on the effective management of usage, cost, and spending data, underscoring the necessity for a robust infrastructure capable of real-time data ingestion, storage, and delivery. This capability is essential for businesses aiming to thrive in a competitive landscape.

Luca's innovative pricing engine harnesses artificial intelligence to analyze sales trends and market data, enabling informed decisions regarding pricing and promotions. To formulate a comprehensive pricing strategy, integrate a mix of both category-specific and overarching business objectives along with established guidelines. Incorporate competitor price limits, desired profit margins, rounding rules, and other relevant parameters while considering how these constraints influence each SKU. Establish a clear north star for your pricing goals, balancing the trade-off between maximizing revenue and ensuring profitability. Additionally, employ an AI-driven matching algorithm that identifies both exact and partial product matches, allowing businesses to competitively price not only directly comparable items but also reasonable alternatives. Set a pricing adjustment schedule that aligns with your operational needs and assess the anticipated effects of each modification at both the SKU and overall business level. Encourage collaboration by inviting your entire team to access the Luca dashboard, fostering joint decision-making. With a detailed metrics dashboard, eliminate uncertainty by gaining insights into the expected outcomes of each pricing adjustment, ensuring that your strategies are data-driven and effectively aligned with market demands. This holistic approach empowers organizations to adapt swiftly and strategically to changing market conditions.