ChronoForge Pulse combines ensemble ML models with Retrieval-Augmented Generation to deliver sales forecasts your team can actually trust — grounded in real historical context.
From raw data ingestion to natural language insights — every piece of the forecasting puzzle, unified.
Ask questions in natural language. ChronoForge retrieves relevant historical scenarios via vector similarity, then generates context-aware insights using your choice of LLM.
SARIMA, LSTM, XGBoost, and LightGBM work in concert — each model's strengths cover the others' weaknesses.
HNSW-indexed cosine similarity over PostgreSQL. Sub-200ms retrieval across millions of scenarios.
Automatic risk assessment — variance analysis, deviation factors, confidence scoring, and scenario modeling.
Choose Claude, Mistral, OpenAI, or Gemini — or run fully offline with local embeddings.
Multi-turn chat with context. Ask follow-ups, drill into regions — like a data analyst on speed dial.
Every query flows through a battle-tested RAG pipeline built for speed and accuracy.
Sales scenarios are embedded via sentence-transformers or API providers and stored with rich metadata indexes.
Your query hits the HNSW index. Top-k most similar scenarios are retrieved in milliseconds.
Retrieved scenarios are filtered by region, category, and date, then formatted into a structured prompt.
Context is sent to your chosen LLM. You get grounded analysis with cited sources — no hallucination.
Each model brings a different perspective. The ensemble combines them into a more accurate forecast.
ChronoForge Pulse goes beyond prediction — it connects demand forecasts directly to production schedules, material plans, and procurement optimization.
Converts demand forecasts into a period-by-period production plan. Balances capacity constraints against service level targets with chase or level strategies.
Explodes multi-level BOMs to calculate exactly what to order and when. Handles subassemblies, purchased parts, and raw materials with lead time offsetting.
Finds the optimal order quantities using five algorithms — from simple EOQ to Wagner-Whitin dynamic programming — minimizing total holding + ordering costs.
FastAPI-powered backend with auto-generated docs, typed schemas, and every endpoint you need.
Our team will work with you to find the right plan for your organization. Please reach out and we'll get back to you within 24 hours.
Deploy ChronoForge Pulse in minutes. No infrastructure headaches. No data science PhD required.