A multi-surface AI platform that converts unstructured purchase intent into optimized, structured transactions — with embedded merchant intelligence at every layer.
The Problem
Shoppers face hundreds of SKU choices per ingredient. No system maps intent to optimal purchase decisions.
Converting purchase intent into a structured cart requires manual search, quantity math, unit conversion, and price comparison.
Retailers lack visibility into purchase intent, making cross-sell, upsell, and margin optimization reactive rather than predictive.
The Pipeline
Each input passes through a structured pipeline that extracts, normalizes, optimizes, and monetizes purchase intent in real-time.
GPT-4o-mini transforms unstructured text into structured ingredient objects with quantities, units, and recipe metadata — in a single API call.
Deterministic engine normalizes units, deduplicates items, classifies 11 categories, and flags pantry-likely ingredients. No AI required.
Fuzzy term matcher maps to a 42-SKU inventory with store-aware pricing. Multi-factor scoring engine optimizes across budget, quality, or dietary modes.
Every transaction generates margin analysis, cross-sell/upsell opportunities, category performance scoring, and AI-powered business insights.
Product Surfaces
Six interconnected views — two buyer-facing, two seller-facing, and two system-level — that demonstrate AI commerce infrastructure thinking.
Paste any recipe. AI extracts, structures, and maps to real SKUs — with serving scaling, store switching, and substitution control.
Cart history, spending patterns, category breakdown, and cost-per-serving analysis across all sessions.
Revenue metrics, category performance table with substitution rates, upsell scores, and LLM-generated business insights.
SKU distribution, margin analysis by category, and revenue optimization levers — upsell, cross-sell, and volume uplift.
7-step visual pipeline — from raw text input to merchant intelligence. Each step documents input, output, and AI involvement.
Technical stack, data flow diagram, optimization logic with weighted scoring, and future scaling roadmap.
Capabilities
AI Extraction
GPT-4o-mini structured output
Store Pricing
3 profiles with category multipliers
Serving Scaling
Debounced reactive re-optimization
Substitution Engine
Inline SKU alternatives with swap
Pantry Filtering
Fuzzy match pantry exclusions
Merchant Analytics
Margin, cross-sell, upsell scoring
AI Suggestions
Contextual swap/add/remove/tip
AI Business Insights
LLM-powered merchant recommendations