Flieber is a demand planning and inventory optimization solution designed for modern, omni-channel commerce. It uses real-time sales, inventory, and supply chain data along with AI-based algorithms to deliver demand forecasts, inventory replenishment suggestions, purchase order management, supply chain monitoring, and sales rebalancing, with the goal of improving inventory decisions and reducing execution time. Its forecasting models combine industry-standard and proprietary approaches that factor in stockouts, seasonality, exceptional events such as COVID-19, and price changes.

Positioned within the E-Commerce Software space, Flieber consolidates and standardizes data from multiple sources, including automated preprocessing to correct inputs. The platform offers fully automated recommendations that incorporate lead times, safety stock, and supply chain mapping, and it connects directly to supply chain systems to execute these recommendations. It links to multiple sales channels and warehouse locations, aggregating historical and current data into a centralized, cloud-based interface built on public APIs and natively integrated with various commerce and operations systems. Proprietary supply chain mapping supports rapid implementation and addresses complex scenarios such as kits, bundles, and subscription-based inventory and replenishment.

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