Litify
The legal operating system built on Salesforce for high-growth firms and corporate departments.
Agentic Supply Chain Intelligence and Predictive Inventory Optimization.
Gaussian.ai is an enterprise-grade predictive intelligence platform designed for the 2026 retail landscape, where supply chain volatility and hyper-personalized demand are the norms. Built on a proprietary architecture that fuses Graph Neural Networks (GNNs) with Large Language Models (LLMs), Gaussian.ai moves beyond traditional time-series forecasting. It ingests thousands of external signals—including geopolitical shifts, climate patterns, and social sentiment—to provide autonomous inventory replenishment recommendations. Its technical core, the 'Neural Supply Mesh,' allows for real-time visibility across multi-echelon distribution networks, predicting stockouts before they occur with 95%+ accuracy. Positioned as a mission-critical layer for mid-to-large scale retailers, the platform enables 'Zero-Waste' operations by aligning production schedules with granular consumer behavior patterns. In 2026, Gaussian.ai distinguishes itself through Agentic workflows, where AI 'planners' can autonomously negotiate with supplier APIs or adjust logistics routing based on cost-benefit simulations, significantly reducing the manual overhead traditionally associated with Sales and Operations Planning (S&OP).
Uses Graph Neural Networks to correlate non-linear external variables with internal sales velocity.
The legal operating system built on Salesforce for high-growth firms and corporate departments.
Empowering investment and credit management with AI-driven operational alpha and cloud-native agility.
The legal industry's gold standard for AI-driven research, analytics, and Shepard’s® validated insights.
A fast, distributed, high-performance gradient boosting framework based on decision tree algorithms.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
LLM-driven agents that can draft and send purchase orders based on forecasted gaps.
Digital twin environment for stress-testing supply chain resilience against hypothetical disruptions.
Directs inventory to specific store clusters based on micro-demographics and localized events.
Optimizes order quantities to maximize container utilization and minimize CO2 emissions.
Predicts the optimal price reduction path to clear seasonal stock while maximizing margin.
Monitors global news and financial data to predict supplier insolvency or delivery delays.
Understocking during high-velocity sales periods leading to lost revenue.
Registry Updated:2/7/2026
High waste and spoilage rates in grocery retail.
Inventory stranded due to unexpected strike or weather event at major hubs.