Western brand name written in its original form versus its representation in Asian scripts), (ii) different surface forms for the same In this work, we address the brand entity linking problem for e-brand (e.g., abbreviations versus full names) and (iii) identifying commerce search queries. The entity linking task is done by either i) brand relationships between parent and sub-brands (e.g., a parent a two-stage process consisting of entity mention detection followed company and its product line brands). Therefore, in addition to by entity disambiguation or ii) an end-to-end linking approaches recognizing the brand names mentioned in the query, it is also that directly fetch the target entity given the input text. The task important to link them to the corresponding global brand entity. It presents unique challenges: queries are extremely short (averaging would be valuable to unify the concept of brand across different e-2.4 words), lack natural language structure, and must handle a commercial stores in a single namespace, i.e., brand entity (identity massive space of unique brands. We present a two-stage approach to each brand itself). Each brand entity is is unique across languages, combining named-entity recognition with matching, and a novel stores and surface forms. As part of this effort, we aim to recognize end-to-end solution using extreme multi-class classification.