Boost.space

Key Features

• •Agentic Database with Live Structured Context: Boost.space transforms scattered business data into a live, semantic layer that AI agents can understand and act upon. This ensures that automations and decision-making run on accurate, connected data rather than siloed records, reducing errors and enabling real-time responses to market changes.
• •2,675 Native Integrations: Connect e-shops, CRMs, ERPs, suppliers, distributors, and ad platforms into one unified data foundation. Every integration supports two-way synchronization, meaning updates in one system automatically propagate to all others, eliminating manual data entry and reconciliation work.
• •Ready-to-Deploy AI Agents: Choose from six purpose-built agents—GEO Optimization, Dynamic Pricing, Product Enrichment, Supplier Product Listing, Marketplace Growth, and Audienc Activation—each designed to solve a specific operational problem without requiring custom development or model training.
• •Single Source of Truth Database: Centralize products, customers, orders, and campaigns in one authoritative data repository. This replaces the fragmented landscape of spreadsheets and disconnected databases, giving every team access to the same up-to-date information for consistent decision-making.
• •Two-Way Data Synchronization: Data flows automatically in both directions between Boost.space and connected tools. When a product is updated in the catalog, the change instantly reflects in the e-shop, CRM, and ad platforms—and vice versa—ensuring consistency across the entire tech stack.

Use Cases

• •Scaling Product Listings Without Extra Headcount: Display Me used Product Enrichment and Supplier Listing agents to grow from 350 to over 1,000 SKUs. Supplier feeds were automatically ingested, standardized, and enriched with missing descriptions and attributes, eliminating the need for manual data entry and freeing the team to focus on strategy.
• •Increasing Customer Lifetime Value via Audience Activation: Tlama Games activated purchase history data across ad campaigns using the Audienc Activation Agent. By syncing customer segments to advertising platforms in real time, they achieved a 23% lift in customer lifetime value within just five months, directly attributable to more personalized messaging.
• •Unifying Multi-Supplier Feeds for Consistent Catalog: Rock Point, a multi-brand retailer, connected 100+ supplier feeds (from PDFs, Excels, and CSVs) to Boost.space. The Supplier Product Listing Agent automatically cleaned and standardized each feed, creating a single, accurate product catalog for their online store without weekly manual cleanup.
• •Optimizing Sales Outreach via LinkedIn Automation: Skoda deployed the Audienc Activation Agent to automate personalized LinkedIn messages to prospects. The agent used live CRM data to segment leads and generate customized outreach, reducing manual effort and increasing response rates for the sales team.
• •Improving Ad Targeting in Sklik with Audience Syncing: Slevomat used Boost.space to sync customer audience segments from their database directly into Sklik (Seznam’s ad platform). This eliminated the need for manual CSV uploads and outdated segments, resulting in more precise targeting and improved campaign return on ad spend.

Who is this for?

Retailers and brands selling across multiple channels and markets, particularly e-commerce managers, product data managers, operations teams, and sales teams who deal with fragmented product catalogs, supplier feeds, and multi-channel distribution. It is also suitable for enterprises needing a unified data foundation to power AI workflows and automations, including marketing teams running personalized campaigns and IT teams looking to replace manual data integration processes.