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LT

Laplace Technologies

Laplace Technologies offers an AI-driven data analytics platform that consolidates order, advertising, customer, and product data for e-commerce sellers. This solution enables businesses to track daily contributions to profit and optimize their strategies by providing real-time insights into performance metrics across multiple channels.

Seoul, South KoreaFounded 20201050+ followers
Updated 4 months ago

Funding

$460K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

E-commerce businesses often struggle with fragmented data across various platforms, including order management systems, advertising channels, customer relationship management (CRM) tools, and product databases. This siloed data makes it difficult to gain a holistic view of business performance, hindering effective decision-making and optimization of marketing and sales strategies.

Solution

Laplace Technologies offers a unified data analytics platform designed to consolidate order, advertising, customer, and product data for e-commerce sellers. The platform provides a business intelligence (BI) dashboard that enables users to track daily contributions to profit across multiple brands and channels. By integrating data from disparate sources, Laplace allows businesses to identify key performance indicators (KPIs), analyze the effectiveness of advertising spend, and understand customer behavior. The platform also supports detailed product-level analysis, including margin, advertising costs, and contribution profit, down to the option and component level.

Target Audience

The primary target audience includes e-commerce businesses, brands, and advertising agencies seeking to streamline data analysis, optimize marketing spend, and improve overall business performance through a unified data platform.

Features

  • Centralized dashboard for monitoring daily sales, revenue, and profit margins across multiple channels and brands.
  • Integration with various data sources, including e-commerce platforms, advertising platforms, and GA4.
  • Granular analysis of product performance, including options and individual components, with cost input capabilities.
  • Customizable reports delivered daily via Kakao and Slack.
  • Enterprise-level features with Snowflake, Looker, and BigQuery integration for advanced data processing and custom analytics.
  • Ability to connect ad creatives to specific products for detailed performance tracking.
  • Automated calculation of key metrics, including customer acquisition cost (CAC), customer lifetime value (LTV), and return on ad spend (ROAS).
This profile is AI-generated and may contain inaccuracies.