Insights, guides, and updates from the Lasso team to help you master your product data.
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
Amazon listing optimization in 2026 is no longer about copy tweaks alone. This guide shows what matters most for titles, bullets, images, and attributes, how to structure listing data, and what to test first for measurable gains.
Jiri Stepanek
Amazon’s Rufus AI shopping assistant is moving beyond chat and into agentic actions like price tracking and cross‑store buying. This update has real implications for product data teams and retailers preparing for AI-driven commerce.
Jiri Stepanek
Empty product attributes silently kill conversion rates and suppress discoverability. Research shows that complete product descriptions can increase conversion rates by up to 30%, yet 83% of shoppers abandon sites when product information is missing. This guide shows how to systematically identify gaps, use AI safely, and measure the business impact.
Jiri Stepanek
