Pandas offers a Trade-in-as-a-Service TaaS platform that utilizes a hybrid AI-human grading system to enable consumers to trade in their smartphones in under three minutes. This technology addresses the issue of e-waste by facilitating a seamless and efficient device lifecycle management process, promoting a circular economy and reducing CO2 emissions.
Funding
$9.7M 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.
Founders
Product
Problem
Consumers face friction and inconvenience when trading in used smartphones, often encountering opaque grading processes and time-consuming procedures. Inefficient trade-in programs hinder device lifecycle management, contributing to e-waste and missed opportunities for a circular economy.
Solution
Pandas offers a Trade-in-as-a-Service (TaaS) platform that streamlines the smartphone trade-in process, enabling consumers to trade in their devices in a few minutes. The platform employs a hybrid AI-human grading system to accurately assess device condition, ensuring fair trade-in values. By automating and simplifying the trade-in experience, Pandas facilitates device reuse, reduces e-waste, and promotes sustainable practices. The platform's suite of tools provides reporting, monitoring, marketing, and pricing functionalities to optimize trade-in program performance.
Target Audience
The primary customers are telecom operators and retailers seeking to enhance their reverse retail systems, device lifecycle management, and sustainability initiatives.
Features
- Web Grading App: A web application that initiates remote smartphone grading through a series of device checks.
- Pandas Flex: A compact machine that achieves grading accuracy.
- Pandas One+: A back-office management system that fuels all of Pandas trade-in solutions.
- Hybrid AI-human grading system that improves with each transaction.
- Support for hardware, software, and cosmetic device checks.
- Integration capabilities with existing infrastructure for fast deployment.