Kill the reports

How AI is finally ending the BI nightmare

I hate these "I need a new report" requests at Rohlik. It's frustratingly inefficient yet so common across businesses. Business Intelligence (BI) has always been essential for translating raw data into strategic insights, but let's face it - traditional reporting methods are slow, manual, and often outdated by the time they're delivered.

Imagine the inefficiency clearly: a human notices an issue, requests a report, someone else wastes hours, sometimes days, pulling data together manually. Then, the requester analyses it, decides what to do, and manually implements the action—more wasted time. Each step introduces delays, inefficiencies, and potential errors.

AI-Powered Efficiency

Contrast this with an AI-driven scenario: an AI agent or even a simple algorithm monitors data continuously, spots an issue instantly, analyses it, makes a decision within seconds, and automatically executes the required action without any human intervention. The difference in speed, accuracy, and efficiency is staggering.

Companies adopting AI-driven BI solutions report reducing analytics workload by up to 80%, turning what previously required hours or days into mere minutes. Gartner research highlights companies saving approximately 110 hours per week on analytics tasks, accelerating decision-making by over 60%. Furthermore, AI adopters in retail often experience double-digit sales growth and roughly 8% higher profits compared to non-adopters, clearly demonstrating tangible business advantages.

Rohlik's AI Journey

At Rohlik, we've already taken significant steps towards this transformative approach, moving from traditional reports on pricing and shrinkage to fully automated solutions. Our demand planning is also fully automated. During our recent hackathon, we developed a powerful internal tool that enables employees to communicate directly with our data, eliminating the need for static reports altogether in the near future.

This democratisation of data means faster, more accurate decisions at every level of the company. Instead of static historical reports, AI enables predictive and prescriptive analytics, proactively alerting us when key performance indicators deviate from expected trends.

With AI handling routine tasks, our BI teams can shift their focus to strategic roles—enhancing data quality, refining AI models, and discovering new data sources. This transformation not only boosts efficiency but also elevates human roles from mundane report generation to innovation and strategic oversight.

Navigating AI Challenges

However, this transition to an AI-driven BI future isn't without challenges. We must prioritise robust data governance, transparency in AI algorithms, and ethical considerations. Training and organisational adaptation are crucial investments to harness AI's full potential.

Ultimately, the move towards AI-driven BI offers Rohlik—and businesses across industries—significant competitive advantages, streamlining operations and enhancing strategic agility. The days of manual, static reports are numbered, and AI-driven analytics will soon become deeply embedded in our daily business decisions and strategies.

Are you ready to say goodbye to manual reporting and fully embrace AI-driven decision-making?