Insights, guides, and updates from the Lasso team to help you master your product data.
AI can generate product descriptions fast, but it can also generate claims that violate regulations. This guide covers compliance checks for AI product copy — restricted phrases, regulated categories, safety claims, environmental assertions, and audit trail requirements.
Jiri Stepanek
AI can generate product descriptions at scale, but without clear brand guardrails, the output sounds generic. This guide shows ecommerce teams how to build style guides, do/don't lists, template prompts, and approval workflows that keep AI-generated copy consistently on-brand.
Jiri Stepanek
Choosing an AI enrichment platform is no longer about who writes the nicest description. The right decision depends on source quality, validation logic, confidence handling, workflow control, integrations, and unit economics by SKU. This guide gives ecommerce teams a practical evaluation framework before signing a contract.
Jiri Stepanek
Google AI Mode, Amazon Rufus, ChatGPT, and Perplexity are all building shopping experiences where AI recommends products. This guide explains exactly which catalog fields these assistants read — and what you need to fix to get recommended.
Jiri Stepanek
Translating product catalogs is not the same as translating blog posts. This guide compares AI translation workflows for ecommerce — MT, LLM-based, and human hybrid — and covers terminology control, QA, and integration into your product data pipeline.
Jiri Stepanek
Amazon flat files can still be effective for bulk listing updates, but only if your team treats templates as category contracts, not spreadsheets to patch manually. This guide shows a low-friction workflow for required fields, attribute mapping, and validation before upload.
Jiri Stepanek