Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Learn how to build an AI agent that recommends accurate clothing sizes by mapping body measurements to brand-specific sizing charts, predicting fit preferences, and reducing return rates in fashion e-commerce.
Build an AI agent that checks real-time store inventory, sets up restock notifications for out-of-stock items, and suggests suitable alternatives — keeping customers engaged instead of bouncing to competitors.
Build an AI agent that manages gift registries end-to-end — from creating registries and managing items to tracking purchases and coordinating between gift givers to prevent duplicates.
Learn how to build an AI personal shopper agent that creates style profiles, curates product selections based on preferences, manages wish lists, and sends personalized alerts for new arrivals and price drops.
Build an AI agent that streamlines retail store operations by generating employee schedules, assigning and tracking tasks, broadcasting announcements, and monitoring labor compliance — reducing manager workload.
Learn how to build an AI agent that monitors competitor prices, evaluates price match requests against policy rules, calculates adjustments, and communicates price matches to customers — protecting margins while staying competitive.
Build an AI agent that powers subscription box services by collecting detailed customer preferences, curating personalized box contents, processing feedback to improve future boxes, and proactively preventing churn.
Learn how to implement the Model protocol in OpenAI Agents SDK to connect any LLM — Anthropic Claude, local Ollama models, or custom endpoints — as your agent's reasoning engine with full tool-calling support.
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