QuickLizard

E-Commerce, Pricing, Retail
Artificial Intelligence Computer Vision Natural Language Processing

Business Overview

Quicklizard offers the ultimate dynamic pricing platform for e-commerce and omnichannel retailers. With QL, you can monitor, calculate and apply optimal prices based on real-time market trends.

Our AI platform continuously tracks and analyzes multiple data sources, adjusting prices so you stay profitable and competitive at the same time.

We collect information from competitive landscapes, customer journey, and demand trends. By actively adapting to changes in the market, you can set the right prices to maximize sales volume and increase revenue by up to 30%.

Quicklizard seamlessly integrates with most commerce, retail and ERP platforms, while automatically syncing pricing recommendations.

Operating Status
Public
Founded
September 2010
Employees
41
Business model
B2B
Offering type
Software
Business stage
Launched
Revenue status
Revenue Generating
Sectors
E-Commerce, Pricing, Retail

Founders

QuickLizard
Philip Mandel
CEO
QuickLizard
Pini Mandel
CEO
QuickLizard
Yossi Cohen
CTO
Serial Entrepreneur
AI Expert

Exit Events and Acquisitions

Date Announced

Transaction

Consideration

Target

Acquirer

March 2021
IPO
$13.6 M

Revenues

Date

Revenue Type

Amount

2020
Annual
$2.8M

AI Technology Stack

AI Description

Our machine learning algorithms leverage internal and external data sources to analyze historical prices, user behaviour and elasticity of demand. Our real-time anomaly detection algorithm relies on user behaviour trends.

As a result, businesses can apply better and more effective pricing decisions.

Our solution enables product managers to easily and automatically update large amounts of product prices.

We offer three modes of operation, based on your specific needs:

  1. Rule-based dynamic pricing: Define and implement rules and constraints to limit pricing flexibility based on your overall strategy and approach.
  2. AI dynamic pricing: Leverage off-the-shelf algorithms that automatically define and implement flexible pricing based on market dynamics such as competitor activity, user behavior and more.
  3. Combine AI & rule-based pricing: Apply AI recommendations (80%), confined by pre-defined rules & constraints (20%), to predict and implement the ultimate price at any given moment.
AI employees
3
AI application
Vertical AI
AI types
Artificial Intelligence, Computer Vision, Natural Language Processing
AI tasks
Recommendation System

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