Xoxoday Plum integrates Large Language Models (LLMs) across its full product suite, enabling natural language reward distribution, AI-powered employee recognition, conversational sales analytics, and real-time loyalty campaign intelligence.
LLM Integration Across the Xoxoday Plum Suite
Xoxoday Plum embeds Large Language Models throughout its core products, turning complex HR, sales, and loyalty workflows into simple conversational interactions. Each product in the suite applies LLMs in distinct, purpose-built ways — from processing plain-language reward commands to generating predictive sales dashboards on demand.Rewards, Incentives, and Payouts
Xoxoday Plum supports prompt-based reward distribution using natural language. Admins can issue instructions such as “Send 100 points to [recipient] for a birthday milestone,” and Xoxoday Plum executes the reward action without navigating multiple menus. An LLM-based reward explainer chatbot answers recipient questions like “What can I do with my 300 Xoxo-points?” or “Are there bank offers to maximise value?” — delivering contextual guidance at the moment of redemption.Employee Engagement
Xoxoday Plum uses LLMs to extract AI skill maps from peer recognition messages, identifying employee competencies automatically without manual assessments or form-based surveys. HR teams can generate award titles, citation messages, and visual award assets from a single prompt, reducing manual effort across the recognition programme lifecycle. An AI co-pilot for HR professionals surfaces real-time programme insights, flags engagement risks through predictive analytics, and auto-suggests next-best actions through a conversational interface. This is especially valuable for teams running large-scale programmes connected to platforms such as Darwinbox or SAP SuccessFactors, where data volume makes manual reporting impractical.Sales Incentive and Compensation Management
Xoxoday Plum’s Natural Language Analytics Assistant lets admins and sales representatives build reports and dashboards without writing queries. A representative can ask “Show me the sales data for a specific region for Q1” and receive a formatted dashboard instantly. The same LLM layer supports conversational log debugging — detecting errors in large data file uploads and recommending fixes — alongside predictive leaderboards and commission query resolution for faster decision-making.Loyalty Programme Management
Xoxoday Plum’s loyalty product includes an AI chatbot connected directly to campaign and performance data. Programme managers can ask “What is the performance of last quarter’s cashback campaign?” and receive a structured answer without pulling separate reports. The product roadmap extends this further into conversation-driven campaign execution, where LLMs suggest campaigns that managers can approve with a single click. Learn more: Xoxoday Plum Help Centre — AIHow does AI skill mapping work in Xoxoday Plum?
Learn how Xoxoday Plum extracts employee competency profiles automatically from peer recognition messages using LLMs.
What is the Natural Language Analytics Assistant?
Explore how Xoxoday Plum lets admins and sales reps build reports and dashboards using plain-language commands.
What does the AI co-pilot do for HR teams?
Discover how Xoxoday Plum’s HR AI co-pilot delivers predictive engagement insights and auto-suggested programme actions.
How does the loyalty AI chatbot work?
See how Xoxoday Plum connects LLMs to loyalty campaign data for real-time conversational performance reporting.