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  1. APPS
  2. Market Price Intelligence
  3. Analytics Engine - Grevlin Price Intelligence Suite v 19.0
  4. Sales Conditions FAQ

Analytics Engine - Grevlin Price Intelligence Suite

by Grevlin Global Corp. https://grevlin.com
Odoo

$ 664.22

v 19.0 Third Party
Apps purchases are linked to your Odoo account, please sign in or sign up first.
Availability
Odoo Online
Odoo.sh
On Premise
Odoo Apps Dependencies • Discuss (mail)
• Contacts (contacts)
Community Apps Dependencies Show
• Price Collection - Grevlin Price Intelligence Suite
• Commodity Catalog - Grevlin Price Intelligence Suite
• Geographic Hierarchy - Grevlin Price Intelligence Suite
Lines of code 7795
Technical Name grev_od_market_analytics
LicenseOPL-1
Websitehttps://grevlin.com
You bought this module and need support? Click here!
Availability
Odoo Online
Odoo.sh
On Premise
Odoo Apps Dependencies • Discuss (mail)
• Contacts (contacts)
Community Apps Dependencies Show
• Price Collection - Grevlin Price Intelligence Suite
• Commodity Catalog - Grevlin Price Intelligence Suite
• Geographic Hierarchy - Grevlin Price Intelligence Suite
Lines of code 7795
Technical Name grev_od_market_analytics
LicenseOPL-1
Websitehttps://grevlin.com
  • Description
  • Documentation
  • License

Analytics Engine — Price Intelligence Suite

TimescaleDB-powered analytics, forecasting, and market intelligence for Odoo 19.0

✓ TimescaleDB Integration ✓ Forecasting Engine ✓ Odoo 19.0 Enterprise

Analytics Engine transforms raw price data into actionable market intelligence. Built on TimescaleDB hypertables and continuous aggregates, it delivers moving averages, volatility tracking, trend detection, and machine-learning-ready forecasting — all seamlessly integrated into Odoo 19.0.

TimescaleDB Integration

⚡

Hypertable Architecture

Price data is automatically synced from Odoo ORM to TimescaleDB hypertables, enabling blazing-fast time-series queries across millions of records with configurable chunk intervals and retention policies.

🔄

Continuous Aggregates

Pre-computed daily, weekly, monthly, and yearly aggregates refresh automatically. Query summarized data instantly without recalculating from raw records.

⚙

Configuration Management

Manage chunk intervals, retention policies, and compression settings directly from the Odoo interface. Fine-tune performance without touching the command line.

🔀

Automated Price Sync

Published price records are automatically synced from the Odoo ORM to the TimescaleDB hypertable. Zero manual intervention — your analytics always reflect the latest validated data.

Analytics & Intelligence

📈

Moving Averages & Volatility

Computed 7-day and 30-day moving averages with volatility tracking. Identify price stability or turbulence at a glance to make informed procurement and sales decisions.

📊

Trend Detection & Inflation

Automatic trend detection identifies rising, falling, or stable price trajectories. Built-in inflation tracking and seasonal indices reveal cyclical patterns in your data.

🌐

Market Comparison & Arbitrage

Compare prices across markets with price spread analysis. Automatic arbitrage opportunity detection alerts you when price differentials create profitable trading windows.

⏰

Automated Cron Jobs

Scheduled analytics computation runs automatically. Moving averages, trends, volatility, and market comparisons are refreshed on your defined schedule — no manual triggers required.

Forecasting Engine

📉

Linear Regression

Statistical linear regression models project price trends forward with configurable training windows.

📈

Moving Average

Smoothed moving average forecasts filter out noise and reveal the underlying price direction.

🌿

Seasonal Decomposition

Separate seasonal patterns from trend and residual components for cycle-aware price predictions.

⚙ Configurable Model Parameters

Tune training windows, model parameters, and forecast horizons per product or market. Built with numpy for performance, with automatic standard library fallbacks when numpy is unavailable.

Screenshots

Analytics dashboard showing moving averages, volatility charts, and trend indicators

Analytics Dashboard — Moving averages, volatility, and trend detection at a glance

Market-to-market comparison view with price spreads and arbitrage alerts

Market Comparison — Cross-market price spreads with arbitrage detection

Forecasting engine showing linear regression, moving average, and seasonal decomposition models

Forecasting Engine — Three forecast models with configurable parameters

Changelog

Version 19.0.2.0.0 — June 2026

  • TimescaleDB configuration and hypertable lifecycle management
  • Price spread analysis model for volatility measurement
  • Forecast accuracy tracking model
  • Enhanced forecasting engine with confidence intervals
  • Interactive OWL dashboard with SVG time-series charts
  • JSON-RPC migration for frontend API calls
  • Odoo 19 API compatibility migration

Version 19.0.1.0.0 — March 2026

  • Initial release for Odoo 19.0 Enterprise
  • Full TimescaleDB integration with hypertables and continuous aggregates
  • TimescaleDB configuration management (chunk intervals, retention, compression)
  • Analytics results: 7-day and 30-day moving averages, volatility tracking
  • Trend detection, price spreads, inflation tracking, seasonal indices
  • Market-to-market comparison with arbitrage opportunity detection
  • Forecasting engine: linear regression, moving average, seasonal decomposition
  • Configurable forecast parameters with training windows
  • Automated price sync from ORM to TimescaleDB hypertable
  • Daily, weekly, monthly, and yearly continuous aggregates
  • Analytics computation cron jobs
  • numpy integration with standard library fallbacks

Need Help?

For support, contact us at odoo@grevlin.com

Follow us on X: @GrevlinGlobal

✓ 30 days free support

Grevlin Price Intelligence Suite - Analytics Engine

This module provides TimescaleDB integration, statistical analytics, market comparisons, and price forecasting for the Grevlin Price Intelligence Suite.

Overview

The Analytics Engine bridges Odoo's ORM with TimescaleDB to deliver high-performance time-series analytics on commodity price data. Published price records are synced to a TimescaleDB hypertable where continuous aggregates provide pre-computed daily, weekly, monthly, and yearly summaries.

Key Features

  1. TimescaleDB integration via hypertables and continuous aggregates
  2. Analytics metrics: moving averages (7d/30d), volatility, trend detection, price spreads, inflation tracking, seasonal indices, price indices
  3. Market-to-market comparisons with arbitrage opportunity detection
  4. Forecasting engine: linear regression, moving average, seasonal decomposition
  5. Automated price sync from ORM to TimescaleDB
  6. Configurable forecast models with training windows

Installation

Prerequisites

  • TimescaleDB must be installed as a PostgreSQL extension on your Odoo database server
  • numpy Python package (optional, stdlib fallbacks available)

Steps

  1. Install TimescaleDB on your PostgreSQL server
  2. Place the grev_od_market_analytics folder in your Odoo addons path
  3. Install the module from :menuselection:`Settings --> Technical --> Database Structure --> Update Apps List`

Warning

TimescaleDB is required for full functionality. Without it, the module will install but hypertable features will be unavailable.

Configuration

TimescaleDB Setup

  1. Navigate to :menuselection:`Market Price Intelligence --> Configuration --> TimescaleDB Configuration`
  2. Click :guilabel:`Create` to add a hypertable configuration
  3. Configure:
    • :guilabel:`Hypertable Name`: Name of the hypertable (e.g., price_observations)
    • :guilabel:`Chunk Interval`: Time interval for chunk partitioning (e.g., 7 days)
    • :guilabel:`Retention Policy Days`: How long to keep raw data
    • :guilabel:`Compression Enabled`: Enable TimescaleDB compression
  4. Click :guilabel:`Initialize` to create the hypertable and continuous aggregates

Important

The CREATE EXTENSION IF NOT EXISTS timescaledb command must succeed on your database. Ensure your PostgreSQL user has superuser or extension creation privileges.

Forecast Configurations

  1. Go to :menuselection:`Market Price Intelligence --> Forecasting --> Forecast Configurations`
  2. Create configurations for different product categories:
    • :guilabel:`Model Type`: linear_regression, moving_average, or seasonal
    • :guilabel:`Training Window Days`: Historical data window
    • :guilabel:`Parameters`: JSON configuration for model tuning

Usage

Viewing Analytics Results

  1. Navigate to :menuselection:`Market Price Intelligence --> Analytics --> Analytics Results`
  2. Filter by product, market, country, or metric type
  3. Results are computed automatically by cron jobs

Market Comparisons

  1. Go to :menuselection:`Market Price Intelligence --> Analytics --> Market Comparisons`
  2. View price differences between market pairs
  3. Records with significant price differences are flagged as arbitrage opportunities

Forecasts

  1. Navigate to :menuselection:`Market Price Intelligence --> Forecasting --> Forecasts`
  2. Each forecast shows predicted price with confidence intervals (upper/lower bounds)
  3. Accuracy scores are computed when actual prices become available

Technical Reference

Models

Model Technical Name Description
TimescaleDB Config grev.timescale.config Hypertable lifecycle management
Analytics Result grev.analytics.result Computed metric storage
Market Comparison grev.market.comparison Pairwise market price comparison
Forecast grev.forecast Price forecast with confidence intervals
Forecast Config grev.forecast.config Forecast model configuration
Timescale Mixin grev.timescale.mixin AbstractModel with TimescaleDB SQL methods

Analytics Metric Types

Metric Description
moving_avg_7d 7-day moving average
moving_avg_30d 30-day moving average
volatility Price volatility (standard deviation)
trend Trend direction and magnitude
spread Price spread across markets
inflation Period-over-period price change
seasonal_index Seasonal adjustment factor
price_index Normalized price index

Services

The module includes pure Python service modules:

  • services/analytics_engine.py: Statistical computations (moving averages, volatility, trend detection)
  • services/forecast_engine.py: Forecasting algorithms (linear regression, moving average, seasonal)
  • services/timescale_service.py: SQL query builders for TimescaleDB operations

See also

  • Price Collection module for data input
  • Report Generation module for automated reports
  • Portal & API module for external data access
Odoo Proprietary License v1.0

This software and associated files (the "Software") may only be used (executed,
modified, executed after modifications) if you have purchased a valid license
from the authors, typically via Odoo Apps, or if you have received a written
agreement from the authors of the Software (see the COPYRIGHT file).

You may develop Odoo modules that use the Software as a library (typically
by depending on it, importing it and using its resources), but without copying
any source code or material from the Software. You may distribute those
modules under the license of your choice, provided that this license is
compatible with the terms of the Odoo Proprietary License (For example:
LGPL, MIT, or proprietary licenses similar to this one).

It is forbidden to publish, distribute, sublicense, or sell copies of the Software
or modified copies of the Software.

The above copyright notice and this permission notice must be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
DEALINGS IN THE SOFTWARE.

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