Ligentix is a fourth-generation supply chain management platform developed in-house at the Nexus development centre in Leeds, UK, based on supply chain best practices established in collaboration with hundreds of customers. The system is built around purchase order (PO) integration, exception management, and critical path milestone tracking from PO creation through to final delivery, providing detailed visibility down to individual item or SKU level across the supply chain. Users access this information via tools such as an end-to-end visual control tower, configurable management dashboards, and shipping and warehouse calendars.

The platform supports a broad range of supply chain stakeholders, with role-based access ensuring that suppliers, import managers, buyers, merchandisers, and finance users see only the data and functions relevant to their responsibilities. An advanced analytics layer combines data from multiple sources to deliver in-depth insights, enabling performance measurement of suppliers, carriers, hauliers, third parties, and internal teams against critical path milestones. Within the Supply Chain Management Software category, Ligentix focuses on three main value areas: exception management that highlights only orders outside agreed tolerances, live PO-centric visibility enhanced by real-time feeds from shipping lines and hauliers, and comprehensive data capture that supports detailed reporting, lead-time and cost reduction initiatives, supplier and carrier management, and improvements in end-to-end efficiency and performance.

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 Ligentix mention score
POST /v3/content_analysis/summary
{
  "keyword": "Ligentix",
  "type": "llm_mentions",
  "date_from": "2025-01-01"
}