The official Python client library for the ParityVend API. Add location-based pricing to your Python applications and take your business to a global level.
Autonomous B2B contract negotiation copilot analyzing counterparty concession velocity, contractual leverage, and generating strategic counter-offers
Autonomous B2B contract negotiation copilot analyzing counterparty concession velocity, contractual leverage, and generating strategic counter-offers
E-commerce pricing optimization & dynamic user profiling
Autonomous multi-agent commerce intelligence platform for D2C brands — agentic pricing, inventory coordination, demand forecasting, and a trust/compliance auditor. Designed and developed by NIKHIL CHARY SRIRAMOJU.
A machine learning project that uses an XGBoost model to predict optimal pricing strategies for Walmart products, incorporating confidence scores.
Dynamic Pricing Optimization using Reinforcement Learning and Q-Learning to learn revenue-maximizing pricing strategies in a custom OpenAI Gym environment, featuring demand simulation and an interactive Streamlit dashboard.
B2B distribution profitability forecasting + customer segmentation + margin-based pricing recommendations. Three connected models (LightGBM forecasting + KMeans segmentation + iso-elastic pricing engine), counterfactual simulation against fixed-discount baseline, full mypy + ruff + 34 pytest cases.
Mathematical-modeling solution for residential elevator pricing, cost allocation, and optimization analysis.
ML-powered pricing optimization for UK coffee shops. R²=0.997 accuracy with weather integration, SHAP explainability, and ethics guardrails. Historical backtest proves 16% margin lift (£17,959 annual opportunity).
Revenue intelligence and pricing optimization analytics system for forecasting, pricing strategy, elasticity analysis, and business decision support.
An end-to-end MySQL analytics pipeline optimized for Zepto's quick-commerce catalog data. Features structural schema alterations, data cleaning (paise to INR conversion), and 20 business intelligence queries tracking revenue opportunities, inventory footprints, pricing anomalies, dead stock, and supply chain health.
AI pricing model which works for E-commerce business model which has suppliers and clients
End-to-end retail analytics solution unlocking $10.9M in revenue through churn prediction, customer segmentation, and pricing optimization algorithms. Built with Python, Scikit-learn, and Streamlit.
contains our team submission for Hackathon Bank Indonesia. Problem that we want to solve is the unfairness of fish price. In summary, we propose to (1) using geospatial ML when to decide the next location of cold storage (2) build app to help fish auction decide the fair price and monitor the recommended storage location based on stock management
Comprehensive market analysis of Athens Airbnb listings delivering actionable Tableau insights for strategic decision-making.
SNHP (snhp.dev, operated by gametheory.dev / github.com/ryuxik and listed in the a2aregistry.org harvest as "Negotiation Copilot for Agents") is free, LLM-free game-theory negotiation math for AI agents: a hosted FastAPI "Game Theory Layer" with 74 operations served anonymously as OpenAPI 3.1 on snhp.dev that returns the math-optimal next move in…
Motor de revenue management hotelero: control de inventario EMSR-b, modelo de cancelacion (XGBoost, AUC 0.84) e ingreso esperado ajustado por riesgo. Dashboard en Streamlit.
PPO-based reinforcement learning dynamic pricing engine with SHAP explainability, trained on real e-commerce transaction data
Profit-aware pricing optimization with demand modeling, price elasticity analysis, constrained price search, and A/B test rollout planning.
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