Agent Templates

The AI-Driven Inventory Disposal Agent analyzes slow-moving or at-risk stock and recommends Dispose, Mark Down, or Transfer actions to minimize loss, reduce excess, and boost warehouse efficiency.

This AI suite analyzes sales and shelf efficiency, recommends planogram placements, and identifies product pairings to optimize retail performance with a data-driven, closed-loop merchandising strategy.

This AI workflow evaluates influencers for brand campaigns using sentiment, audience fit, and engagement, providing scored insights and reports for campaign teams.

This AI agent automates SEO metadata optimization by validating and improving titles with trending keywords, ensuring quality, keyword alignment, and better search visibility for retail products and blogs.

A suite of AI agents ensures manufacturing stability by forecasting shortfalls, assessing location risks, and evaluating safety disruptionsdelivering both system-ready JSON and summaries for stakeholders.

Detects recipe-level ingredient waste patterns, uncovers root causes, and delivers chef-friendly recommendations to cut kitchen wastage.

Scans warranty cards, calculates end dates using purchase details, and instantly verifies warranty status for eligibility decisions.

This AI agent detects and mitigates return abuse in retail by analyzing customer behavior and return patterns.

Validates incoming invoices against historical trends, flags anomalies, assesses severity, and routes to finance or vendors for faster, accurate resolution.

Extracts supplier catalogs from PDFs, compares data with historical norms, flags discrepancies, and routes anomalies to procurement teams for review.

Optimizes daily menu planning by forecasting demand and checking real-time inventory, while aligning vendor selection and procurement to reduce waste and boost profit.

Tracks behavior in abandoned cart sessions, pinpoints drop-off reasons, and auto-generates personalized recovery emails to re-engage users.

Analyzes product reviews to extract sentiment, flag key issues, recommend next steps, and auto-assigns ownership which is escalating via Buzz and Email when needed.

It predicts traffic by zone, section, and shift using footfall and event data, then compares it with staffing to flag areas as Understaffed, Sufficient, or Overstaffed, suggesting reallocation as needed.

Monitors tenant interactions, detects sentiment and urgency, summarizes complaint themes by building, and notifies managers daily with insights.

Parses resumes, scores candidates based on role fit (skills, notice, CTC), and sends recruiters top matches with full match breakdowns.

Auto-analyzes new IT tickets, suggests resolutions from history, assigns the ideal resolver, and alerts managers for SLA-critical issues.

Identifies competitors in real-time, classifies their strengths, recommends tagged pitch decks, and generates AI-powered differentiation points.

Auto-prepares discovery call briefings 24 hours in advance, compiling lead details, competitors, and pain points into ready-to-use talking points and emails.

Automatically matches leads to the best-fit sales rep based on region and language, then updates CRM or sends instant notifications for action.