Ramsha Deshmukh

• Advocated and led AI driven (GTM) requirements to CS-Console on Salesforce for existing & new products/services.
• Delivered AI based features including SaaS based AI (self learning) chatbots for any quick CRM queries which gives metrics and insights to target direct customers and partners.
• Attained 75% net promoter score (NPS) surfaced AOV increases, achieved 80%+ customer satisfaction (CSAT) by designing & implementing GTM plans with Sales.
• Designed and onboarded multiple workflows/processes for Cisco's complex acquisitions
• Streamlined customer-facing calls 25% resulting in high engagement and satisfaction rates.

• Led L&D platform (Lessonly and CXT portal) supporting sales enablement & customer success roles to be field ready to assist end customer queries and enhance customer experience. Prepared product backlog, prioritized, and executed requirements for new platforms with vendor and cross functional teams.
• Alongside planned and executed sunset/retire of Cisco's in-house L&D platform.
• Launched new AI-driven LMS platform for CSS within 2 quarters with 62% adoption rate in first month followed by SPM/CSE in next phase.
• Increased number of user logins 43% and improved user/learner experience by customizing views per role.

• Drove digital strategic initiatives and streamlined standards and processes for cross-product digital lifecycle journey leveraging AI/ML technologies to increase customer interactions.
• Developed AI based data model to find best time to email customers for max possibility of interaction.
• Maintained 72% successful AI/ML CTA launches by propelling end-to-end 'Call to Action' program for Customer Success Managers for Buying Program EA suites (pilot).
• Designed seamless digital experience for enterprise customers transitioning from ACL system, enriching customer experience.

AI Orchestration: Managed customer footprint for digital experience to increase engagement and improve experience with partners and sellers by marketing through various channels using high-end AI-driven data science models. Program managed key features including tracking requirement deliverables, developed milestones, and followed timelines.

Drafted activity and use case diagrams for products and assisted Senior Project Manager in forecasting and budget planning.