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PredictHQ

PredictHQ provides an AI-powered platform that enhances demand forecasting by integrating real-world event data, enabling businesses to anticipate demand fluctuations with greater accuracy. This technology addresses the issue of demand volatility, which can lead to significant supply chain inefficiencies and lost revenue.

Auckland, New ZealandFounded 2015537K+ followers
Updated 20 months ago

Funding

$33.5M 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.

SH
Funding rounds are not available yet.

Founders

Product

Problem

Businesses face challenges in accurately forecasting demand due to unforeseen real-world events, leading to supply chain inefficiencies, operational problems, and revenue losses. Traditional forecasting methods often fail to account for the impact of these events, resulting in inaccurate predictions and suboptimal resource allocation.

Solution

PredictHQ offers an AI-powered platform that aggregates and analyzes real-world event data to enhance demand forecasting accuracy. The platform tracks various event categories, including planned and unplanned events, across numerous sources, providing businesses with a comprehensive view of factors influencing demand. By integrating this event intelligence into existing forecasting models, companies can anticipate demand fluctuations, optimize resource allocation, and improve overall business performance. PredictHQ's platform enables businesses to make smarter decisions by predicting future demand based on real-world events.

Target Audience

The primary target audience includes businesses across various industries, such as retail, transportation, and hospitality, that require accurate demand forecasting to optimize operations and improve profitability.

Features

  • Tracks 19 event categories across 4 event types, aggregating data from hundreds of public and proprietary sources.
  • Provides 8+ years of historical and 2 years of future event data.
  • Employs 1,000+ machine learning models to predict event times, attendance, spend, and geographic impact.
  • Offers a web application for searching, exporting, and exploring relevant events.
  • Provides APIs for incorporating event intelligence into existing models or analytics tools.
  • Includes a demand analysis tool (Beam) to understand how surrounding events impact specific businesses.
This profile is AI-generated and may contain inaccuracies.