DataGreat launches AI-native market intelligence platform for travel and hospitality

By AI, Created 9:30 AM UTC, May 20, 2026, /AGP/ – DataGreat has launched a vertical AI market intelligence platform for hotels, tour operators, OTAs, DMCs and tourism boards. The product aims to replace generic research tools with real-time pricing, demand, brand and operational intelligence built for the travel industry.

Why it matters: - Travel and hospitality operators need faster decisions on pricing, demand and reputation. - DataGreat is designed to handle those workflows with travel-specific AI modules instead of generic research software. - Solustiq is betting that vertical AI can capture more value than horizontal market research platforms in a market projected to exceed $20 billion globally by 2028.

What happened: - DataGreat announced the public launch of its travel and hospitality-focused market intelligence suite. - The platform was developed by Turkey-based vertical AI company Solustiq. - The launch positions DataGreat as an AI-native alternative to horizontal market research tools. - The product is available immediately at the company’s announcement.

The details: - DataGreat combines 38 specialized research modules in one platform. - The product is built for hotels, tour operators, destination management companies, online travel agencies and tourism boards. - The platform organizes its modules into five intelligence categories: competitive, demand, brand and reputation, operational, and customer intelligence. - Competitive Intelligence covers competitor pricing surveillance, rate parity tracking, distribution channel analysis and OTA benchmarking. - Demand Intelligence includes destination demand forecasting, source market analysis, seasonal trend detection and event impact modeling. - Brand & Reputation Intelligence includes review aggregation across TripAdvisor, Booking.com, Google and regional platforms, plus sentiment analysis and crisis detection. - Operational Intelligence tracks supply-side capacity, hotel inventory shifts, route launches and infrastructure development. - Customer Intelligence includes traveler persona analysis, behavior segmentation and conversion funnel diagnostics. - Each module can run as a standalone AI agent or as part of a multi-step research workflow. - DataGreat’s architecture uses a vertical-aware data layer trained on travel industry taxonomies, distribution protocols and regulatory frameworks across multiple jurisdictions. - Pricing is module-based, so customers can start with one intelligence stream and expand later. - Enterprise tiers include white-label deployments for tourism boards and regional DMCs. - The platform is being piloted by select hospitality groups and B2B travel operators across Turkey, the Gulf region and Europe. - Early users include Safaryar Holidays, a TURSAB-licensed B2B hotel wholesaler operating across Europe and the Middle East.

Between the lines: - The launch reflects a broader push toward vertical AI tools that are built around a specific industry’s data and decisions. - Tekin argued that travel executives need tools designed for operational choices such as rate matching, demand sourcing and brand monitoring. - Tekin also drew a distinction between AI-native systems and legacy software that has been adapted with a chatbot layer. - That positioning suggests DataGreat is targeting buyers who want specialized outputs without heavy setup or customization.

What’s next: - DataGreat will likely expand through module-based adoption, starting with single intelligence streams and adding more capabilities over time. - Solustiq is positioning enterprise and white-label deployments as the path for larger tourism and destination clients. - The platform’s pilots across Turkey, the Gulf and Europe will serve as an early test of whether travel-specific AI can win share from broader market intelligence suites.

The bottom line: - DataGreat is trying to make market intelligence more useful for travel teams by replacing generic research workflows with a vertical AI product built for how the industry actually operates.