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    [Pangyo Tech] Laplace Technologies introduces commerce big data analysis ‘Laplace Analytics’ at the Pangyo Monthly Online Meet Up in October 2022

    In order for Gyeonggi Province to inform the world of the value and corporate status of Pangyo Techno Valley, an ‘Online Meet Up’ was held with Clement Jean, reporter of the European media ‘STARTUPWORLD’, through video conference on October 25th. ‘ was carried out.

    Laplace Technologies (CEO Park Byeong-min, hereinafter referred to as Laplace), who participated in this video conference, said an acquaintance of his who founded a convenience food commerce company said, “We spend more than 300 million won annually to build a data analysis dashboard, and it takes one year just to build it.” It started with a concern that I confessed.

    Provided by – Gyeonggi-do

    Even in large companies, business team members had great difficulty analyzing data using SQL, Tableau, etc. and spent more than 4 hours every day, discovering the need for automated end-to-end analytics that goes beyond Tableau. Accordingly, research and development was conducted to ultimately maximize the probability of business success for commerce SMBs by automatically diagnosing the problem itself, recommending growth, and strategies based on data.

    Laplace Technologies introduced the commerce big data analysis solution 'Laplace Analytics' at the '2022 Pangyo Online Monthly Meet Up'.  |  Image source: Captured from Lapla Technologies website
    Laplace Technologies introduced the commerce big data analysis solution ‘Laplace Analytics’ at the ‘2022 Pangyo Online Monthly Meet Up’. | Image source: Captured from Lapla Technologies website

    The solution introduced by Laplace, ‘Laplace Analytics’, aims to be an AI solution that provides data insights for better decision-making by commerce operators and suggests strategies and action items for commerce growth.

    Through Laplace Analytics, ▲’Simple data integration (One source of truth)’ that automatically integrates all sales, costs, products, orders, and advertising data from multi-channel and open markets with a simple login ▲Repurchase rate of customers, products, etc., customer You can utilize the technology of ‘key decision indicator analysis’ that automatically analyzes and visualizes statistical indicators such as lifetime value (LTV) and first purchase/repurchase.

    In addition, ▲Benchmarking is possible on a product-by-product basis, such as detailed margins and growth rates, and ‘SKU-level benchmarking is provided’, which provides high accuracy and customized information based on order/payment data ▲AI monitors key indicators on behalf of growth hackers and It is equipped with technologies such as ‘Problem Diagnosis and Reporting Automation’, a technology for diagnosing problems and identifying their causes, and ‘Strategy & Action Performance Tracking’, which recommends action items to solve problems through the Laplace AI engine and tracks and recommends strategy performance. there is.

    Image source: Captured from Lapla Technologies website
    Image source: Captured from Lapla Technologies website

    A Laplace official said, “We are currently looking for three types of partners to expand into overseas markets: commerce operators, web builder operators, and e-commerce solution SaaS.” He added, “Using our solution, there is no need for specialized personnel, and all data under the foundation is stored.” “Based on this, we can analyze accurately.”

    Meanwhile, ‘Online Meetup’ is one of Pangyo Techno Valley’s promotional projects and is an event to exchange opinions online with startup clusters around the world on major issues of Pangyo Techno Valley companies. In particular, this October meeting was an opportunity to introduce companies in Pangyo and provide a venue to introduce new technologies of various startups. The online meetup video can be found on the Pangyo Techno Valley YouTube channel.

    Source: Pangyo Techno Valley Official Newsroom
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