Pricing Engine Toolkit

$49

Dynamic pricing rules, competitor price monitoring, margin calculator, discount scheduling, and A/B price testing framework.

📁 23 files

JSONMarkdownYAMLPython

📄 Product Preview

Try the interactive reader and demo tools below, or get the full product with all content unlocked.

📖 Interactive Reader (Free Preview) ⚙ Try Demo Tools 📦 Download Free Sample

📁 File Structure 23 files

pricing-engine-toolkit/ ├── LICENSE ├── README.md ├── configs/ │ └── pricing_config.yaml ├── data/ │ ├── sample_competitor_prices.csv │ ├── sample_products.csv │ └── sample_rules.json ├── free-sample.zip ├── guide/ │ ├── 01-pricing-strategy-foundations.md │ ├── 02-dynamic-pricing-models.md │ ├── 03-discount-optimization.md │ ├── 04-margin-analysis.md │ └── 05-competitor-monitoring.md ├── guides/ │ └── pricing_guide.md ├── index.html ├── scripts/ │ └── run_pricing.py ├── src/ │ ├── __init__.py │ ├── ab_testing.py │ ├── competitor.py │ ├── engine.py │ ├── margin.py │ ├── models.py │ └── scheduler.py └── tests/ └── test_pricing.py

📖 Documentation Preview README excerpt

Pricing Engine Toolkit

A rules-based pricing engine with competitor monitoring, margin analysis, discount scheduling, and A/B price testing — all in pure Python with zero external dependencies.

What's Inside

Module	File	Description
Pricing Engine	`src/engine.py`	Priority-ordered rule evaluation: fixed price, markup, discount, competitor match, margin floor
Data Models	`src/models.py`	Dataclasses for products, rules, competitor prices, discounts, A/B tests
Competitor Monitor	`src/competitor.py`	Track competitor prices, detect undercuts, identify pricing opportunities
Margin Calculator	`src/margin.py`	Margin/markup analysis, break-even, what-if scenarios, discount impact
Discount Scheduler	`src/scheduler.py`	Time-based discounts, stacking rules, usage tracking, promo calendar
A/B Testing	`src/ab_testing.py`	Statistical price experiments with z-test and t-test analysis

Features

Priority-based rule engine — rules evaluated in order, first match wins, with price floor/ceiling enforcement
7 rule types — fixed price, percentage markup, percentage discount, competitor match, volume tier, time-based, margin floor
Competitor intelligence — pluggable feed adapters (CSV, JSON, or your own API), undercut alerts with severity levels, pricing opportunity reports
Margin analysis — margin vs markup calculations, break-even with target profit, what-if price scenarios, discount impact showing the volume increase needed to compensate
Discount management — percentage/fixed/fixed-price discounts, category/SKU/tag targeting, stackable vs non-stackable, usage limits, scheduled activation
Statistical A/B testing — deterministic visitor assignment, two-proportion z-test, Welch's t-test for revenue, sample size calculator, confidence-level-aware recommendations
Pure Python — zero pip dependencies, Python 3.10+ stdlib only

Quick Start


# Run the complete demo (all 5 modules)
cd pricing-engine-toolkit/
python scripts/run_pricing.py

# Run the test suite
python -m pytest tests/test_pricing.py -v

Project Structure


pricing-engine-toolkit/
├── src/
│   ├── __init__.py        # Package exports
│   ├── models.py          # PricedProduct, PricingRule, CompetitorPrice, Discount, ABTestConfig
│   ├── engine.py          # PricingEngine with rule evaluation and match/case dispatch
│   ├── competitor.py      # CompetitorMonitor, CsvCompetitorFeed, undercut detection
│   ├── margin.py          # MarginCalculator, break-even, scenarios, discount impact
│   ├── scheduler.py       # DiscountScheduler, stacking, calendar view
│   └── ab_testing.py      # ABTestRunner, statistical tests, sample size calculator
├── configs/
│   └── pricing_config.yaml  # All configuration options with comments
├── data/
│   ├── sample_products.csv         # 15 sample products across 3 categories
│   ├── sample_rules.json           # 7 sample pricing rules
│   └── sample_competitor_prices.csv # Competitor price observations
├── scripts/
│   └── run_pricing.py     # Full demo script showing all modules
├── tests/
│   └── test_pricing.py    # 25+ unit tests covering all modules
├── guides/
│   └── pricing_guide.md   # Detailed setup and usage guide

*... continues with setup instructions, usage examples, and more.*

📄 Code Sample .py preview

scripts/run_pricing.py#!/usr/bin/env python3 """ Pricing Engine Toolkit — Demo Runner ====================================== Demonstrates every module in the pricing toolkit: 1. Load products and pricing rules from sample data 2. Run the pricing engine with rule evaluation 3. Feed in competitor prices and detect undercuts 4. Analyze margins and run break-even analysis 5. Schedule discounts and show the calendar 6. Set up and simulate an A/B price test Run from the product root directory: python scripts/run_pricing.py """ from __future__ import annotations import csv import json import logging import os import sys # Add project root to path so "from src.X import Y" works sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) from src.models import ( ABTestConfig, CompetitorPrice, Discount, PricedProduct, PricingRule, RuleType, ) from src.engine import PricingEngine from src.competitor import CompetitorMonitor, CsvCompetitorFeed from src.margin import MarginCalculator from src.scheduler import DiscountScheduler from src.ab_testing import ABTestRunner, TestObservation, required_sample_size # Configure logging logging.basicConfig( level=logging.INFO, format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",

Buy Now — $49 Back to Products