Daily Newsletter

12 July 2024

Daily Newsletter

12 July 2024

PicoNext unveils ‘first’ gen-AI assistant to boost DPP process efficiencies

PicoNext, an end-to-end platform for brands to engage with customers using Digital Product Passports, has launched an AI Assistant to help companies more efficiently gather and organise DPP product data.

Hannah Abdulla July 12 2024

PicoNext AI Assistant claims to be the first generative AI product to summarise raw product data into streamlined, user-friendly DPPs, allowing companies to dramatically reduce time and cost in publishing Digital Product Passports required by the European Union and other jurisdictions.

Integrated with the DPP Planner, a one-stop tool in PicoNext to gather and organise DPP product data, the PicoNext AI Assistant allows organisations to ingest raw, unstructured product data in a variety of formats. Companies can then use the AI Assistant to automatically and quickly create summaries for sustainability attributes in a DPP template aligned with regulatory standards – including sections for materials origin, carbon footprint, environmental impact and recycling.

Using the PicoNext AI Assistant, companies can avoid costly, custom integrations with enterprise resource planning (ERP) systems and other data silos by harnessing generative AI to analyse and summarise product data into Digital Product Passports.

“Companies are preparing their Digital Product Passports not only to engage sustainability-focused customers, but to comply with regulations in the European Union and other locations,” said Dave Dickson, founder of PicoNext.

“With the new PicoNext AI Assistant, brands can dramatically reduce the cost and time it takes to prepare Digital Product Passports through generative AI that automatically summarises these key product data points into templates aligned with emerging regulatory standards.”

Key features for the PicoNext AI Assistant include:

  • Flexible Input Formats: Speed DPP creation by using Web URLs, Microsoft Word documents, Microsoft PowerPoint presentations, and other raw inputs as product data
  • Generative Summary: Extract automatic summaries from product data into DPP sections like materials origin, carbon footprint, energy usage and recycling
  • Multiple Foundational Model Support: Select between multiple foundational large language models for text generation, including OpenAI GPT 4o, OpenAI GPT 3.5 Turbo, and Google Gemini Flash 1.5
  • Prompt Refinement: Use custom, follow-on AI prompts to refine generated output, including focusing on specific product attributes
  • AI Options: Fine-tune options used in generating AI content, including target word count, output variety, and content repetition
  • Review and Edit: Manually review AI-generated content for accuracy, and edit information before publishing
  • Data Privacy: Utilise the AI Assistant knowing that no customer content is used to train the underlying AI model.

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