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Roketfy

Roketfy is an AI-driven review analytics and e-commerce data platform for brands selling on marketplaces such as Trendyol, Hepsiburada and Amazon. It turns marketplace listings, product attributes and customer reviews into structured data and insights for product, marketing and customer experience teams, and offers an API for developers.

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Roketfy is an AI platform that turns marketplace and customer feedback data into decisions for product, marketing and customer experience teams. It's aimed at brands and multi-location businesses selling through online marketplaces, hotel booking platforms, or their own e-commerce sites, particularly in Turkey and neighboring markets where Trendyol and Hepsiburada are major sales channels.

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The platform pulls product listings, catalog attributes, search data and customer reviews from marketplaces such as Trendyol, Hepsiburada, Amazon and Google, then applies AI to clean, structure and analyze that data. On the listing side, it checks and rewrites product titles, descriptions and image strategy against a marketplace's own rules and search language, and cross-validates catalog attributes, such as color or material fields, to catch missing or inconsistent entries across large catalogs. On the feedback side, it imports reviews and Q&A into one hub and turns them into AI-assisted product descriptions, highlight summaries and FAQ drafts.

Roketfy's VoC AI Suite offers four industry-specific review products. Early Warning tracks dine-in and delivery reviews for multi-location restaurant and food and beverage brands to spot underperforming locations. Voice of Guest brings hotel reviews together from channels including Tripadvisor, Booking.com, Trivago and Hotels.com. Product & R&D tracks review sentiment per product rather than per store location, filtering out shipping and seller complaints to isolate product-quality signal. Category Radar analyzes reviews across the top 100 best-selling products in a category to surface trends, comparisons and unmet needs. Separately, the Roketfy Data Engine is an API that returns marketplace product, review, search and price data as structured JSON for engineering teams to feed into their own ERP, CRM or internal tools.

Roketfy doesn't publish self-serve pricing; access is arranged through a demo request or a one-on-one call with the company.

It's built for e-commerce, product and CX teams working with marketplace channels, particularly Trendyol and Hepsiburada sellers, food and beverage and hospitality brands, and engineering teams that need marketplace data through an API rather than a dashboard. The platform's current site is built entirely around these marketplace and hospitality use cases and no longer describes the Etsy-specific seller tools it once offered.

  • CategoryReview & Feedback Analysis
  • Pricing ModelFreemium
  • DeploymentCloud
  • PlatformsWeb

  • Marketplace listing optimization for product titles, descriptions and images on Trendyol and other marketplaces

  • AI attribute enrichment that fills in missing or inconsistent catalog fields at scale

  • Unified review inbox importing feedback from Trendyol, Hepsiburada, Amazon and Google

  • AI-assisted product content generated from real customer reviews and Q&A

  • Early Warning review tracking for multi-location restaurant and food and beverage brands

  • Voice of Guest hotel review aggregation across Tripadvisor, Booking.com, Trivago and Hotels.com

  • Product & R&D review analysis that filters out shipping and seller noise

  • Category Radar trend analysis across a category's top-selling products

  • Roketfy Data Engine API for structured marketplace product, review, search and price data

  1. Request a demo: Book a one-on-one walkthrough or explore the platform overview on Roketfy's site.

  2. Connect your marketplace data: Roketfy pulls product listings, attributes and reviews from channels like Trendyol, Hepsiburada or Amazon.

  3. Review the analysis: Use the listing optimization, attribute or VoC AI Suite tools relevant to your business, whether retail, food and beverage, hospitality or category research.

  4. Act on the insights: Apply suggested listing or attribute fixes, or pull the underlying data through the Data Engine API for internal systems.

  • Marketplace listing optimization
  • Catalog attribute cleanup
  • Multi-location review tracking
  • Hotel review aggregation
  • Marketplace data API access

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