Reverse engineering in ecommerce refers to the process of deconstructing competitors’ pricing, catalog, or operational data to understand how they work. It enables businesses to identify winning strategies, pricing levers, and product gaps using structured insights rather than assumptions.

API (Application Programming Interface) is a structured way for software systems to communicate and exchange data automatically. APIs enable real-time data flow between platforms, eliminating manual data transfers and enabling seamless integrations.

Web Scraping is the automated process of extracting structured data from websites at scale. It enables businesses to capture real-time information such as prices, availability, promotions, and product details directly from digital storefronts.

Fulfillment refers to the end-to-end process of receiving, processing, and delivering customer orders. It includes inventory management, warehousing, picking, packing, shipping, and last-mile delivery, directly impacting customer experience and operational efficiency.

Product Taxonomy is the structured classification of products into categories, subcategories, and attributes. It creates a common language for organizing catalogs, enabling accurate analysis, comparison, and decision-making at scale.

SKU (Stock Keeping Unit) is a unique identifier assigned to a specific product variant. It enables businesses to track, price, analyze, and manage products accurately across catalogs, channels, and marketplaces.

Dynamic Pricing is a pricing strategy where product prices are adjusted in real time based on market conditions such as demand, competition, availability, and fulfillment signals. It enables businesses to stay competitive while protecting margins in fast-moving markets.

Price monitoring is the process of tracking and analyzing the cost of products or services over time to make informed business decisions and stay competitive.

Price benchmarking is the practice of comparing a company's pricing strategies and structures against those of its competitors or market leaders.

Data parsing is the process of transforming raw information into a structured, readable format that software applications or humans can easily understand and analyze.

A dataset is a collection of related data organized in a structured way. It often appears in rows and columns, where each row represents a single record and each column corresponds to a specific attribute.

A competitive pricing strategy involves setting your product or service prices by closely monitoring and reacting to your rivals' pricing structures.

Data accuracy refers to the degree to which data reflects the real-world situation or fact it represents. It shows how reliable and correct the stored or processed information is.

Data Aggregation involves gathering information from various sources and combining it into a single, more meaningful dataset that offers a deeper understanding of trends, patterns, and insights.

Stockout impact analysis is the method of measuring how product unavailability affects customer experience and overall market performance.

Product assortment is the mix of products a business sells. It typically covers the range, depth, quality, and variety of items available in the catalog.