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Home > AI for Retail > Dynamic Pricing

Dynamic Pricing

Change Pricing dynamically to avoid under and overstocking and optimize margins based on different factors like consumer elasticity, competitors moves, market conditions, and time 

Benefits include: Automating Price Adjustments, More Agility responding to Competitors Moves, and Increasing Competitiveness

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1. Get Inspired

Understand the Use-case under 5 minutes

2. Know More

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Deeper Intro

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Business Focused

Case studies, Organizational Aspects, Return on Investment examples

Tech focused

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3. Do

Technical resources that will help you implement the use-case (notebooks, tutorials..)

Data Sets

Data Sets you can use to build Demos, POCs, or test Algorithms

Brazilian E-Commerce Public Dataset by Olist

100,000 Orders with product, customer and reviews infoThis is a Brazilian ecommerce public dataset of orders made at Olist Store. The dataset has information of 100k orders from 2016 to 2018 made at multiple marketplaces in Brazil. Its features allows viewing an order from multiple dimensions: from order status, price, payment and more


Off-the-Shelf Products using AI for Fraud Detection

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