AI Agent Store

The Capacity Conflict Resolver Agent detects and resolves production conflicts by analyzing constraints like overloads, labor, maintenance, and materials. It suggests reallocation or rescheduling to optimize flow and reduce bottlenecks.

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.

A chained suite of AI agents streamlining procurement decisions by forecasting SKU-level demand, selecting the best vendor using performance and cost, and simulating optimal vendor negotiation strategies all powered by clean, structured datasets and rules-based pricing logic.

This AI safety agent detects and prioritizes hazards using sensor data and incident history, assesses risk, and sends real-time alerts with safety actions to enable rapid, preventive responses.

A multi-stream AI agent designed to monitor financial ecosystems for fraud behavior, customer liquidity risks, and terminal anomalies. Each stream independently evaluates patterns, triggers condition-based responses, and automates communications to relevant stakeholders for preemptive action and continuous risk reduction.

A comprehensive AI-powered suite that monitors marketing campaign performance across metrics such as conversions, revenue, CPA, budget efficiency, and customer sentiment.

This AI workflow segments audiences, evaluates engagement, forecasts results, allocates budgets, and generates summaries helping marketers boost performance and make data-driven decisions.

Three AI agents that boost conversions, prevent risks, and optimize pricing through smart behavior analysis and real-time insights.

The Marketing Budget Optimization Assistant reallocates budgets to top-performing campaigns, maximizing ROI and ROAS with real-time data and smart, data-backed recommendations.

This AI agent analyzes campaign performance to identify top and underperforming products, appends key metrics to datasets, and triggers alerts when product-level ROAS falls below set thresholds.