Bodidata addresses the sizing challenges faced by ready-to-wear (RTW) and uniform brands through its Measure.Match.Manage™ system, designed to improve accuracy in size-matching. By using this solution, retailers can move away from manual fitting processes in which store staff repeatedly retrieve and remerchandise garments, instead focusing on providing items that align more closely with each customer’s body measurements. This Apparel Software offering is intended to improve the overall shopping experience, support higher levels of customer satisfaction and loyalty, and significantly cut down on product returns and excess inventory.

The platform also includes Bodisafari™, which supports designers in refining grading for both established and new patterns. Through a virtual fit safari conducted on a defined target demographic, designers gain information that can help them achieve more precise fit outcomes.

LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.

Normalized 0–100 · last 8 weeks

DataForSeo API

Get LLM mention data of any company via DataForSEO API

Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count. 

How to get LLM mention data →
// Fetch Bodidata mention score
POST /v3/content_analysis/summary
{
  "keyword": "Bodidata",
  "type": "llm_mentions",
  "date_from": "2025-01-01"
}