Boost.space

Boost.space, founded in the early 2020s, has emerged as a significant player in the AI-driven e-commerce and automation space.

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Boost.space provides AI-powered tools to fix and optimize product catalogs for e-commerce businesses.

Boost.space, founded in the early 2020s, has emerged as a significant player in the AI-driven e-commerce and automation space. The company specializes in AI-powered Product Information Management (PIM) and multi-supplier feed unification, addressing the critical issue of imperfect product catalogs that cost retailers up to 23% in lost revenue. Boost.space’s solutions are designed to fix broken supplier feeds, optimize pricing, and enhance product recommendations, thereby enabling personalized shopping experiences.

The company claims to be trusted by 15,000 teams and companies across 140 countries, including notable clients like Skoda, CDN77, and Europa Biosite. Boost.space’s recent publication, 'The State of AI in E-commerce 2026,' highlights its focus on leveraging AI to drive revenue recovery for retailers. The company has also secured certifications for GDPR, ISO 27001, CASA Tier 2, SOC 2 Type I, and HIPAA compliance, underscoring its commitment to data security and regulatory adherence. Despite its rapid growth, Boost.space faces challenges in maintaining customer trust amidst increasing competition and the need for continuous innovation in AI technologies.

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Who buys this

  • E-commerce retailers
  • Brands with multi-supplier feeds
  • Companies needing product catalog enrichment
  • Businesses seeking AI-driven sales outreach optimization
  • Teams requiring unified supplier feeds

Publicly disclosed clients

  • Skoda
  • CDN77
  • Europa Biosite

Strengths and what to watch

Strengths

  • Certified compliance with GDPR, ISO 27001, CASA Tier 2, SOC 2 Type I, and HIPAA
  • Trusted by 15,000 teams and companies across 140 countries
  • Focus on AI-driven solutions for e-commerce revenue recovery

Watch for

  • Increasing competition in AI-driven e-commerce solutions
  • Potential challenges in maintaining customer trust
  • Need for continuous innovation in AI technologies

Key Information

Founded
2017
Headquarters
Prague, Czech Republic

Frequently Asked Questions

What does Boost.space do?

Boost.space provides AI-powered tools to fix and optimize e-commerce product catalogs. Their solutions address supplier feed errors, pricing issues, and recommendation engines, helping retailers recover lost revenue. The platform unifies multi-supplier data while maintaining GDPR, ISO 27001, and HIPAA compliance. Used by 15,000 teams globally, including Skoda and CDN77.

How does Boost.space's AI improve product catalogs?

Boost.space's AI analyzes and corrects catalog errors like missing attributes, inconsistent pricing, and poor recommendations. Their system processes multi-supplier feeds into unified product data, reducing the 23% revenue loss from bad catalogs. The technology adapts to industry-specific needs while maintaining data security certifications.

What compliance standards does Boost.space meet?

Boost.space holds GDPR, ISO 27001, CASA Tier 2, SOC 2 Type I, and HIPAA certifications. These ensure secure handling of product data across 140 countries. The compliance framework supports global e-commerce operations while preventing data breaches that could damage customer trust.

Which companies use Boost.space's solutions?

Notable Boost.space clients include Skoda, CDN77, and Europa Biosite. These organizations leverage its AI for supplier feed unification and catalog optimization. The platform serves 15,000 teams globally across retail sectors needing automated product data correction and enrichment.

How does Boost.space handle multiple supplier feeds?

Boost.space's AI automatically standardizes conflicting product data from multiple suppliers into unified catalogs. The system identifies and fixes missing attributes, pricing discrepancies, and categorization errors. This creates consistent shopping experiences while reducing manual data cleaning workloads for e-commerce teams.

What's the business impact of bad product catalogs?

Poor product data costs retailers up to 23% in lost revenue from abandoned carts and missed recommendations. Boost.space's 2026 report shows AI-optimized catalogs improve conversion by fixing supplier errors, enhancing search relevance, and enabling personalized product suggestions at scale.

Sources

  1. boost.space — Boost.space’s focus on AI-driven e-commerce solutions
  2. www.mckinsey.com — Imperfect product catalogs cost retailers up to 23% in lost revenue
  3. boost.space — Boost.space’s AI agents for product catalog optimization
  4. boost.space — Boost.space’s AI-powered Product Information Management (PIM)