Use AI to prepare the knowledge environment and strategy before the first holiday message arrives.

AI for Data & Forecasting

Use AI to analyze last year’s historical data like transcripts and ticket resolutions to pinpoint content gaps and predictively forecast which issues will spike and when. This insight guides your pre-season workflow and staffing priorities.

Centralize and Sharpen Your Knowledge

Audit and centralize all knowledge content into a single source of truth. AI agents require consistent, structured data (i.e. - clear headings, simple language) to prevent hallucinations and ensure verifiable answers.

Train with Verified Holiday Data

Feed the AI the final, locked down holiday-specific policies such as shipping deadlines and extended return windows. This ensures its answers are 100% accurate during the time-sensitive requests that drive holiday volume.

Deploy AI agents for maximum deflection while using predictive capabilities to protect the system and the customer relationship.

Sentiment-Based Routing

Instantly identify angry and frustrated customers. Use this data to automatically bypass lower-tier bots and fast-track high-risk conversations to a human agent, decreasing the risk of that negative sentiment making its way to your company’s social feeds.

Prioritize Volume Deflection

By integrating real-time tracking and order data, deploying AI agents to automatically manage WISMO and post-purchase returns has the potential to slash your ticket volume by 40-60%.

Use AI for Conversational Commerce

Position AI-enhanced live chat in pre-purchase flows to proactively resolve last minute buyer objections like shipping & product questions to help you secure revenue before cart abandonment.

Ensure AI maintains quality in its service, helps your human workforce, and provides actionable data for continuous improvement.

Empower Seasonal Agents with AI Co-Pilots

Deploy AI tools like Kustomer’s AI Agents for Reps to summarize long chat transcripts and suggest accurate canned responses for new seasonal staff. This instantly boosts their confidence and reduces resolution time.

Automate QA/Negative Feedback Triage

Use AI-driven QA workflows to automatically flag conversations for review any time a customer requests a human handoff from the AI or submits a negative sentiment score post-interaction. This maintains essential quality control.

Monitor Resolution & CSAT

Track the AI's success not just by volume deflected, but by resolution rate (Did the customer accept the answer?) and CSAT score after the AI interaction. This data identifies knowledge gaps for rapid self-service improvement.