gloozd - data & ai agency

BACKGROUND

Please describe your company and position.

I am the Head of Operations of «!FEST» Holding of Emotions

Describe what your company does in a single sentence.

!FEST is a Ukrainian holding company based in Lviv that unites over 40 restaurant and creative concepts across the city and beyond.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire gloozd - data & ai agency to accomplish?

• Create a single source of truth
• Enable self-service analytics
• Add an AI assistant
• Free the analytics team from routine requests

SOLUTION

How did you find gloozd - data & ai agency?

Referral

Why did you select gloozd - data & ai agency over others?

• High ratings
• Pricing fit our budget
• Good value for cost
• Company values aligned

How many teammates from gloozd - data & ai agency were assigned to this project?

6-10 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Our analytics infrastructure had 4 analysts serving over 300 users across 60+ Power BI workspaces, connecting data from more than 40 source systems, with around 500 dashboards accumulated — 40% of them one-off ad-hoc requests that had become permanent digital deadweight. 90% of the analytics team's time went to operational routine and only 10% to research and projects; 30% of new analysts didn't complete their probation as a result. Business teams suffered too — any data question turned into a days-long wait instead of a minutes-long one. We'd already tried a Data Marts approach in Power BI, but it was built on raw data without a proper semantic model, so most business users simply couldn't work with it directly. 

gloozd has built a full analytical ecosystem with three components. First, gloozd implemented baseline BI reporting to support a smooth transition from our previous BI system. Second, gloozd developed a self-service platform on Looker with a single source of truth: through a drag-and-drop report builder, every manager can independently build visualizations and dashboards without involving an analyst. Third, gloozd integrated an AI assistant into the platform — an employee asks a question in natural language in a chat, and the system instantly analyzes the data and produces the chart or table needed. The foundation is BigQuery as the single data layer for the whole holding, with Looker's LookML semantic layer ensuring one clean, unified data model underneath both the self-service builder and the AI assistant.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

We have saved 70% of the analytics team's time, which is now spent on forecasting and strategic insights instead of routine dashboard requests. Time-to-insight for business teams has dropped from days to essentially instant. Most importantly, we've built a genuine data-driven culture: data is no longer a privilege of the technical department but a daily working tool for every line-of-business manager.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Very well. Given that our first attempt at self-service analytics had already failed, the biggest open question was adoption — would business users actually use this system? gloozd has addressed that by rebuilding the foundation first (BigQuery plus a proper LookML semantic model) rather than layering new tools on the same weak base, and by removing the technical barrier entirely with a drag-and-drop builder and a natural-language AI assistant.

What was your primary form of communication with gloozd - data & ai agency?

• In-Person Meeting
• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

They correctly diagnosed why our previous attempt failed — the issue was the data architecture and semantic model, not the choice of BI tool — and fixed that first. As I put it at the time: the integration of the AI assistant and the Looker self-service platform decentralized analytics, so now every line-of-business manager gets accurate data in seconds to adjust strategy right here and now. That is a real digital transformation, one that works to increase the capitalization of the whole holding.

Are there any areas for improvement or something gloozd - data & ai agency could have done differently?

None significant so far. Our advice to future clients: if a previous self-service or BI initiative has failed, look hard at the underlying data architecture and semantic model before blaming the tool — that's usually where the real problem is.

BACKGROUND

Please describe your company and position.

I am the Marketing & E-commerce Specialist of kulturrra

Describe what your company does in a single sentence.

Kulturrra is a specialty coffee multi-store featuring Ukraine's widest selection of local roasters and coffee-brewing devices. I run e-commerce/marketing for Kulturrra and was the main point of contact on this project.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire gloozd - data & ai agency to accomplish?

• We wanted an e-commerce solution that would turn the standard shopping journey into a genuine, live interaction with an AI barista — something that could actually guide customers the way a knowledgeable person behind the counter would, rather than just another search bar or filter menu.

SOLUTION

How did you find gloozd - data & ai agency?

Referral

Why did you select gloozd - data & ai agency over others?

• Close to my geographic location
• Good value for cost
• Referred to me
• Company values aligned

How many teammates from gloozd - data & ai agency were assigned to this project?

6-10 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

gloozd built the first coffee AI assistant of its kind, powered by a specialized coffee knowledge graph that acts as its "digital brain." That knowledge graph is what lets the assistant give highly relevant, specific recommendations and avoid the kind of hallucinations you'd expect from a standard off-the-shelf LLM applied to a niche subject like specialty coffee.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

Customers can now simply consult the AI assistant for personalized coffee recommendations instead of researching individual varieties and searching through our multi-store catalog. It has made the online shopping experience much closer to consulting a knowledgeable barista in one of our physical coffee shops.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

The project was managed smoothly and efficiently, with clear communication throughout the entire process. The gloozd team was well-organized and responsive to our needs.

What was your primary form of communication with gloozd - data & ai agency?

• In-Person Meeting
• Virtual Meeting

What did you find most impressive or unique about this company?

The knowledge-graph foundation. A lot of AI assistants for retail are just an LLM with a product feed bolted on, and they confidently recommend the wrong thing. Because ours is grounded in a real coffee knowledge graph, gloozd - data & ai agency's solution's recommendations actually hold up to someone who knows coffee — that's what makes it feel like talking to a real barista instead of a chatbot.

Are there any areas for improvement or something gloozd - data & ai agency could have done differently?

Nothing significant so far.