INTELLIGENCE_MODULE // DEMAND-FORECASTING

Demand Forecasting

Apply time-series models to ERPNext sales history. The module generates rolling demand windows to automate supply planning and production triggers, ensuring fulfillment reliability while minimizing working capital tied up in stock.

Algorithm Time-Series Fusion Model
Granularity SKU-Level Daily Forecasting
Data Native ERP + Seasonal Signals
Safety Automated Safety Stock Recs

The Operational Bottleneck

"Mid-market manufacturers often rely on 'gut feel' or simple rolling averages for inventory, leading to capital-draining overstock or production-halting stockouts. Legacy forecasting is disconnected from real-time supplier lead times."

The Sovereign Solution

We synchronize your ERPNext sales history into BigQuery and apply Vertex AI Time-Series forecasting. By injecting external seasonal signals and internal constraints, we generate hyper-accurate, SKU-level demand windows.

Core Mesh Architecture

Sovereign Cloud Integration

History Ingress

BigQuery Flow

ERPNext Sales Synchronization

Prediction Core

Vertex AI Forecast

Time-Series Fusion Models

Orchestration

Supply Plan Loop

Automated Purchase Triggers

Real-World Application

Seasonal Surge Management for Hydraulics

A hydraulics distributor manages 12,000 SKUs across three regional warehouses. Traditional 'Min-Max' levels fail as seasonal demand for agricultural components surges. Infinary-Forecast identifies a 3-year pattern: demand for 'Sectional Valves' spikes 40 days before planting season.

In January, the system automatically adjusts 'Safety Stock' levels and generates a bulk Purchase Request to the Italian supplier to account for the 60-day sea-freight lead time. When the surge hits, the distributor maintains 98% fulfillment accuracy while competitors scramble with air-freight premiums.

Seasonal Surge Management for Hydraulics
Simulation Model // demand-forecasting-SCENARIO-01

Operational Logic

Continuous
Decision Flow

01

Data Lake

Synchronizing ERPNext sales history into BigQuery for analysis.

02

Model Training

Private training of Vertex AI models on your unique demand patterns.

03

Forecasting

Generation of 90-day rolling demand windows for every SKU.

04

Orchestration

Automated Supply Plan generation and Production Order triggers.

Measurable Impact

ROI Dashboard

Stockouts -42%

Reduction in fulfillment failures and backorders.

Carrying Cost -22%

Working capital liberated through stock optimization.

Expediting $50k+

Annual savings in avoided emergency air-freight.

Google Cloud Ecosystem Alignment

Vertex AI Forecast
BigQuery ML
Cloud Scheduler
Dataform

* Infrastructure costs billed directly via your private GCP project.

Deploy Demand Forecasting
in Your Infrastructure.

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