Agent Templates

Accelerate your AI transformation with focused solutions

Featured Templates

Cart Abandonment Recovery

AI-powered agent that automates cart abandonment recovery using behavioral analysis, personalized offers, and multi-channel outreach to boost conversions.

Discount Suggestion

AI-powered discount optimization agent that identifies slow-moving products and applies customer-specific discount strategies based on stock age, while protecting profit margins.

Store-to-Store Product Transfer

AI-driven tool to optimize inter-store stock transfers and restock fast-selling items using real-time data and profitability logic.

First Allocation Product Planner

AI-powered allocation engine that distributes new products to stores based on historical sales and product similarity, improving sell-through and reducing overstock

Retail Promotion Effectiveness

This AI agent optimizes retail promotions by recommending high-ROI campaigns, tracking real-time performance, and providing actionable summaries using historical and live sales data to align with trends and maximize impact.

Retail Optimization

This AI agent streamlines retail procurement by automating demand forecasting, budget checks, vendor selection, and order placement. It ensures inventory aligns with demand, optimizes costs, manages budgets, and generates purchase requests enhancing efficiency and profitability.

D2C Upsell/Cross-sell

Analyzes existing e-commerce product bundles for optimization and generates new high-performing combinations using customer behavior and transaction data to boost ROI, upsell rates, and conversion.

Inventory Disposal

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.

Product Planogram Navigator

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.

Sales Floor Allocation

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.

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