AI-Powered Intelligent Quote Generation System

Core Logic

Coordinates all quote generation agents through an 8-stage pipeline: requirements analysis, market intelligence gathering, catalog search, sustainability assessment, bundle assembly, price optimization, predictive analytics, and recommendation synthesis. Builds consensus among agents and manages autonomous decision-making with configurable approval thresholds.

Core Logic

Analyzes customer input using NLP to extract campaign objectives, budget constraints, timeline requirements, target audience demographics, distribution channel preferences, and branding needs. Performs sentiment analysis, detects requirement gaps, validates budget alignment with industry benchmarks, and classifies campaign types with high confidence.

Core Logic

Performs semantic AI matching across the entire product catalog, scoring products by relevance to requirements. Checks real-time inventory availability, forecasts stock levels, ranks products by multi-dimensional criteria including quality, price, turnaround time, and channel suitability, and identifies alternatives for out-of-stock items.

Core Logic

Loads dynamic pricing rules, calculates volume discounts across quantity tiers, optimizes bundle combinations for maximum value, applies seasonal promotions and loyalty discounts, analyzes margins, and positions quotes competitively against market benchmarks while maintaining profitability targets.

Core Logic

Evaluates product quality using durability scoring, specification validation against use case requirements, and compliance checking. Recommends premium materials where environmental exposure demands it, scores products on longevity metrics, and generates quality certificates for included materials.

Core Logic

Analyzes purchase patterns using collaborative filtering to generate ML-powered recommendations. Detects upsell opportunities, identifies high-probability cross-sells based on similar customer behavior, personalizes suggestions based on industry and campaign type, and prioritizes recommendations by ROI impact.

Core Logic

Calculates total carbon footprint with breakdown by materials, production, shipping, and packaging. Analyzes material sustainability including recycled content and FSC certification, identifies eco-friendly alternatives with cost-benefit analysis, generates ESG compliance reports, and recommends carbon offset options.

Core Logic

Fetches real-time market data from industry sources, analyzes competitor pricing movements and market share trends, detects seasonal demand patterns, monitors supply chain health indicators, forecasts material cost changes, and provides actionable timing recommendations for quote presentation.

Core Logic

Analyzes customer profiles and negotiation history to calculate win probability at different price points. Develops multi-tier negotiation strategies, identifies optimal discount levels that balance margin protection with deal closure, generates talking points, and defines walk-away thresholds based on minimum acceptable margins.

Core Logic

Forecasts campaign ROI using ML models trained on historical campaign outcomes, predicts customer lifetime value changes, assesses churn risk with retention strategies, models multiple outcome scenarios with probability distributions, and identifies optimal market timing windows for campaign launches.