Create ESPR-compliant DPPs in minutes. AI auto-fills 80% of mandatory fields by analysing product images, descriptions, and PIM data.
Manually creating an ESPR-compliant DPP takes 4-8 hours per SKU. With AI, this drops to 15 minutes for the first product and under 1 minute per subsequent SKU once the model is trained on your catalogue.
Every AI-generated field has a confidence score (0-100%). Fields below 80% are flagged for human review. All AI outputs are auditable — you see exactly which input source generated each field.
Your product data is never used to train shared models. AI runs on isolated tenant infrastructure with optional on-premise deployment for sensitive industries.
No. AI handles repetitive data entry; your team focuses on quality review, supplier relationships, and strategy. Most customers reduce data-entry effort by 60-80%.
94% average accuracy on textile fields and 89% on electronics. Accuracy improves over time as the model learns your catalogue patterns.
Yes — DPPskop's AI is trained on 50+ product categories. For very specialised items, fine-tuning takes 2-4 weeks.
No. Each tenant has isolated training data and inference; we never share or aggregate model improvements across customers.
Yes. Default workflow is AI-suggest → human-approve → publish. You can also auto-publish high-confidence (>95%) entries.
Combination of GPT-4-class LLMs, custom CNNs for image classification, and rule-based validators. All hosted on EU infrastructure.
AI is included in all paid tiers (no per-call charges). Enterprise customers can request unlimited fine-tuning runs.
Create & manage digital passports.
EU 2024/1781 details.
Technical compliance roadmap.
Sector-specific solution.
Free 13-page handbook.
5-min self-assessment.
Definition & basics.
Latest DPP & ESPR insights.