Q-commerce

Speed to shelf (NPD tracking)

Speed to shelf (NPD tracking) in Q-commerce follows new product introductions across online marketplaces, where listings can be ephemeral and rivals' launches are easy to miss. Thousands of listings across multiple apps and websites make manual tracking slow. We spot new launches across the relevant platforms and send alerts with the product specifications.

Enterprise scraping and matching from 5,000+ sources.

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  • Uber Eats
  • Getir
  • Eventim
  • Booking.com
  • Audible
  • Skyscanner
Common problems

New Q-commerce listings appear faster than manual tracking

Speed to shelf (NPD tracking) built on in-house solutions tends to cost more than it should and still miss launches. Dedicated specialists in enterprise-grade data scraping, advanced matching, and sophisticated proxy management deliver accuracy and efficiency.

Thousands of listings sifted by hand

Clients sift manually through thousands of product listings daily across multiple Q-commerce apps and websites to find genuinely new products. Competitive responses come late and market insights are missed, a situation often described as 'being blind to what our rivals are launching'.

Late counter-launches and lost revenue

Delays in identifying new products cost the chance to adapt pricing, promotions, or even launch counter-products. Competitive advantage erodes, market share is lost, and revenue growth and strategic positioning suffer.

CAPTCHAs and aggressive IP blocks

Q-commerce platforms protect their listings with sophisticated anti-bot measures, including dynamic content, complex CAPTCHAs, and aggressive IP blocking. Non-specialist teams lack the proxy rotation, browser fingerprinting, and adaptive scraping techniques to extract data consistently at scale, so disruptions and data gaps are frequent.

Specialist expertise spread thin

NPD tracking infrastructure built in-house takes engineering and data science teams away from core product development and strategic initiatives. Operational costs inflate and innovation stalls, because their specialized expertise is spread thin.

Our solutions

Launch alerts and product specs for Q-commerce

New listings are scraped across Q-commerce apps and websites, matched to product specifications, checked manually, and run through automated QA. Your team receives launch alerts it can act on.

Launch alerts with product specifications

Our managed service identifies new product launches across the relevant Q-commerce platforms and sends alerts with detailed product specifications. You stay informed and can respond to the market and plan quickly.

Counter-offers built before rivals move

Timely, accurate NPD intelligence lets you adjust strategies, develop competitive offerings, and capture market opportunities before your rivals. Revenue grows, and your market position gets stronger.

Bot detection bypass at enterprise scale

Enterprise-grade proxy networks, sophisticated bot detection bypass, and adaptive scraping agents keep data flowing from even the most challenging Q-commerce sources. Data acquisition is backed by a 99.9% uptime SLA.

Lower overhead for technical teams

Your high-value technical teams hand the data acquisition burden to our fully managed service model and focus on core business innovation and strategic data analysis. Operational overhead drops significantly.

Other use cases

Use cases beyond Q-commerce NPD tracking

From data scraping and precise data matching to full infrastructure management, our services support speed to shelf tracking and the other Q-commerce use cases below for enterprise clients.

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Start your Q-commerce NPD tracking project

We assign a dedicated Q-commerce specialist with deep expertise in speed to shelf (NPD tracking) to understand and address your unique data intelligence requirements.

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