How Attero is using AI to solve recycling’s pricing and compliance challenges
At TechSparks 2026, Ayush Agarwal, Head of Product and Technology at Attero, explains how AI-powered systems are helping the e-waste recycler standardise scrap pricing, automate compliance and improve financial visibility.
Attero, an Indian e-waste and battery recycling company, employs artificial intelligence to tackle the complexities of recycling pricing and compliance. Attero handles approximately 200,000 metric tonnes of e-waste and 10,000 metric tonnes of lithium-ion batteries annually, generating annual revenue of over Rs 1,000 crore. This e-waste is composed of various appliances, each with unique makeups and values depending on recoverable materials, processing, transportation, regional demand, and supply.
Attero developed Matrix, an AI-driven pricing engine, to provide a standardized system for evaluating the value of recyclable materials. This system considers three years of recycling data, two years of exchange data, and information about thousands of appliances. The pricing engine adapts to local market conditions and logistics costs, ensuring accurate pricing for each region. For example, a washing machine's price could vary between Delhi and Mumbai based on these factors.
In addition to pricing, Attero utilizes Lightspeed, another AI-powered compliance engine, to manage extensive documentation covering suppliers, transporters, invoices, and regulatory requirements. The system cross-references documents, identifies discrepancies, and prepares audit-ready reports. Within a short period, Lightspeed has processed 50,000 documents and identified over 500 errors.
By implementing these AI systems, Attero aims to increase efficiency by 70%, allowing its current team to process four times as many documents without expanding headcount.
Beyond automation, AI allows Attero to gain greater visibility into its business performance. Combining AI-driven pricing, procurement costs, and recovered material values provides a clear understanding of profitability at the individual order level. Additionally, the company is working on image recognition capabilities, growing its image dataset from 10,000 to a projected 100,000, to identify incoming material from supplier images.
By leveraging AI, Attero aims to streamline operations and drive growth without relying solely on a larger workforce.
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