Apttus' Quote-to-Cash service was developed as an automated system to simplify the many steps involved in a business transaction, from the point interest is expressed in a product to the processing and handling of merchandise, shipments and money.
The B2B cloud service operates on the Salesforce Wave platform and features tools to process manage renewals, contracts and revenue. What really sets this smart business system apart is the machine learning that Apttus uses, which provides insights and recommendations based on collected data, such as top salespeople, purchases in a particular region and discounts.
The service is especially valuable for business owners or managers, with no specialized training required for use. Motorola Solutions is one company that uses this platform in order to reduce potential business risks by examining suppliers and employees, as well as patterns in the industry and various regions in the world.
Intuitive Business Platforms
Apttus' Automated Quote-to-Cash Service Simplifies B2B Transactions
Trend Themes
1. Automated Quote-to-cash - Automated systems that simplify the B2B transaction process offer opportunities for seamless and efficient business operations.
2. Machine Learning in Business - Embedding machine learning in business platforms enables data-driven insights and recommendations for improved decision-making.
3. User-friendly Business Systems - Business platforms that require no specialized training empower business owners and managers to easily navigate and utilize powerful tools.
Industry Implications
1. B2B Cloud Services - The B2B cloud services industry can capitalize on the demand for automated platforms that streamline business transactions and operations.
2. CRM and Sales Automation - The CRM and sales automation industry can embrace machine learning to provide enhanced insights and recommendations for sales and revenue optimization.
3. Risk Management Solutions - The risk management solutions industry can leverage user-friendly business systems to proactively identify and mitigate business risks through data analysis.