ChronoForge Pulse turns months of messy sales data into clear, defensible forecasts — and the production plans, material orders and analytics that follow. Built for finance and operations teams who'd rather decide than debate.
SARIMA · LSTM · XGBoost · LightGBM, weighted by historical fit
A live snapshot of how the agent thinks — with the citations, the sparkline, the recommendation. Pick a question or write your own; the full workspace lives one click away.
Sample questions are pre-rendered. Free-text questions run live against Pulse — capped at 10 per visitor per day. The full agent is unmetered for signed-in users. Open the full agent →
An end-to-end planning workspace — from raw data to natural-language insight — without the usual stack of bolt-on tools.
Ask a question in plain English. Pulse retrieves the historical scenarios that actually matter via vector search, then builds a cited, source-aware analysis with the LLM of your choice.
// natural language → grounded answer POST /api/query { "query": "Why did Q3 sales soften in the Pacific Northwest?", "region": "PNW", "top_k": 5 } // → 5 similar quarters retrieved // → answer cites scenarios + variance
SARIMA, LSTM, XGBoost and LightGBM run side-by-side. Each model's strengths cover the others' weaknesses — yielding 95.2% rolling accuracy.
HNSW-indexed cosine similarity over Postgres + pgvector. Millions of historical scenarios, all under a fifth of a second.
Variance bands, deviation factors and confidence scoring — automatically surfaced for every forecast you publish.
Claude, GPT, Mistral, Gemini — or run fully offline with local embeddings. Bring your own keys, swap any time.
Multi-turn chat with your data. Drill into a region, slice by quarter, ask follow-ups — like having a senior analyst on call.
Every query travels the same battle-tested RAG pipeline. No hidden behavior, no hallucinated numbers — just a transparent path from your data to a recommendation.
Sales scenarios, ERP exports and analyst notes are embedded with sentence-transformers and stored with rich metadata indexes.
Each query hits the HNSW index. The most contextually similar historical scenarios surface in milliseconds.
Retrieved scenarios are filtered by region, category and date, then formatted into a structured, auditable prompt.
Your chosen LLM produces analysis with citations back to source rows — every claim is traceable to the data.
Each model brings a different perspective. The ensemble combines them — weighted by recent fit — into a forecast that's measurably more accurate than any individual.
Pulse converts demand forecasts into production schedules, material plans and procurement orders — with optimization baked in. One workspace, one source of truth.
Period-by-period production plans that balance capacity constraints against service-level targets. Chase or level, your call.
Multi-level BOM explosion. Calculates exactly what to order and when, with full lead-time offsetting across subassemblies and raw materials.
Five algorithms, from EOQ to Wagner-Whitin dynamic programming. Minimize total holding plus ordering cost — automatically.
// ensemble forecast → MPS → MRP → lot sizing { "total_cost": $2,847,350, "service_level": "94.2%", "planned_orders": 186, "bom_levels": 3, "best_lot_method": "wagner_whitin", "cost_savings": "12.4% vs lot-for-lot", "insights": "3 paragraphs of grounded analysis →" }
"We replaced a quarterly forecast workshop with a fifteen-minute review. Same accuracy, ten times less arguing."
FastAPI-powered backend with auto-generated OpenAPI docs, typed schemas, and every endpoint your platform team needs to wire Pulse into production.
# Explain a forecast with historical context curl -X POST https://api.chronoforge.io/api/forecast/explain \ -H "Authorization: Bearer $PULSE_KEY" \ -H "Content-Type: application/json" \ -d '{ "date": "2026-12-15", "sarima_prediction": 245000.00, "lstm_prediction": 251200.00, "xgb_prediction": 248800.00, "lgb_prediction": 247500.00, "ensemble_prediction": 248125.00, "confidence_low": 232000.00, "confidence_high": 264000.00, "feature_importance": [ { "name": "month", "value": 0.34 }, { "name": "promo", "value": 0.28 } ] }'
Full feature parity across plans. Start free, scale when you're ready, talk to us when you outgrow it.
Everything you need to ship a trustworthy forecast — with room to grow.
The full planning workspace — forecasting, MPS, MRP, lot sizing and analytics.
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