Parcel Perform
parcelperform.comThis Real Estate Software description outlines a unified data and delivery experience platform designed to enhance every ecommerce order. It supports the full customer journey from pre-checkout through returns using accurate predictive Estimated Delivery Dates (EDD), a configurable tracking widget, and automated, intelligent delivery notifications. The platform also offers comprehensive visibility into logistics operations via best-practice reporting that can be adapted to specific business requirements.
The solution consolidates order, customer, warehouse, last-mile, and returns information into a single source of truth by integrating tracking data from a network of over 1,078 carrier partners. Its proprietary AI engine powers precise EDD predictions, while a branded tracking widget is available in more than 36 languages. Notification workflows can be tailored using 86+ triggers and over 100 field placeholders, with further refinement supported by expert-led workshops. Additional components include a customer service toolkit with shipment overviews and smart workflows, a customer feedback tool with an integrated review collection flow, logistics intelligence reports with both standard and customizable dashboards, SLA compliance management based on standardized data, and label and returns management through a self-service, fully integrated platform suitable for Real Estate Software users operating ecommerce logistics.
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
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 Parcel Perform mention score POST /v3/content_analysis/summary { "keyword": "Parcel Perform", "type": "llm_mentions", "date_from": "2025-01-01" }