CommerceIQ helps consumer brands gain in e-commerce


Hyderabad: CommerceIQ, an e-commerce management platform, leveraging machine learning and analytics to optimize e-commerce channel through supply chain, marketing and sales operations, seeks to solve the end-to-end customer journey for consumer brands through automation.

The company wants to help mainstream brands better understand buyer intent, what customers want and understand demand patterns by providing consumer insight / demand forecast, as well as improve the supply chain.

Prasun Kumar, Vice President of Engineering and Head of India Operations, CommerceIQ, told Telangana Today, “We want to help mainstream brands win in e-commerce by leveraging multiple platforms. Our product helps our customers to be visible, available (help in the supply chain and forecast demand) and purchasable. We also help these brands improve their advertising effectiveness. We currently serve eight geographies, including the United States, Canada, India, and select markets in Europe.

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Expansion projects

The United States is currently the largest market in the world, but the company which recently launched operations in India is also enjoying good momentum. The company plans to expand its presence in the APAC region and the United States.

The company plans to be present across the entire customer journey, from product discovery to purchase, making consumer brands optimal across all e-commerce channels.

CommerceIQ has doubled its revenue and the strength of its team year after year. The company has around 150 people in India in the fields of engineering, data science, analytics and customer support, while the global team is around 250 people. Outside of India, the company operates in Seattle, California and New York.

Driven by technology

He informed that the company plans to double its workforce in India and the United States over the next year. India alone would see its workforce grow to 250 with a focus on engineering, data science (AI and ML capabilities) and natural language processing (AI driven).

“We bring together different sources of data (supply chain, sales, inventory and advertising) to create a single source of decision-making for e-commerce. From data to decisions to actions, we deliver algorithms, insights and machine learning through our suite. We enable automated actions using data science and machine learning capabilities, ”Kumar explained.

The company is also monitoring opportunities to help offline retailers build their e-commerce presence after a year or two.

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