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Almost of business leaders expect AI to drive revenue growth in the next three years. And for a good reason. Wherever AI capabilities come into play, growth opportunities can be spotted. So, what are they, exactly? And how are companies seizing them?

AI-enabled Growth Drivers

In this section, we’re focusing on the impact of AI as a whole, without splitting hairs over whether it comes from natural language processing, machine learning, computer vision, or other AI sub-fields. The truth is, businesses aren’t just adopting technologies for the sake of it — they’re after outcomes. And AI, in all its forms and shapes, is already delivering measurable results through:

• Automation of complex, repetitive tasks

Repetitive, mind-numbing tasks — chewing up of employees’ time on average — can now be offloaded to automated workflows with various AI aids in the loop. AI-enabled automation frees up time for activities that truly contribute to key performance metrics.

Apart from saving time and money, this shift makes work more engaging and rewarding as people can actually see the impact of what they do. This way, companies shape a whole new kind of workforce, one that helps them set and chase goals they might never have dared to before.

• More contextualized decision-making

Faster data processing. Spotting patterns that are more than meets the eye (or than BI, for that matter). Unmatched predictive capabilities. With these unique strengths of AI, decisions become sharper, more informed, and, thus, better positioned to drive business growth.

• Happier customers — bigger wins

Conversational AI solutions and AI-enhanced personalization engines are giving businesses fresh angles on improving customer acquisition, retention, and support. That means:

1. Generating more leads: AI algorithms uncover insights that help businesses craft the right message for the right audience at the right moment.
2. Increasing brand loyalty and reducing churn rates: By analyzing individual customer data, businesses can create hyper-personalized offers that directly address each customer’s preferences and needs. This tailored attention makes existing customers feel valued.
3. Being there for clients round-the-clock: Conversational AI chatbots and virtual assistants deliver instant, human-like, personalized interactions 24/7, handling nearly 100% of queries without the need for human intervention.

Three Examples of How *instinctools Helps ÐÔÊÓ½ç Build Pragmatic AI Solutions

All the hypothetical talk aside, let’s take a look at how delivers measurable value, backed by the experiences of our clients in travel & hospitality, banking, and ecommerce industries.

1. AI-driven virtual Agent Inside a Travel Planner Application

The first success story we’ll share shows how growth was achieved by putting a virtual assistant to work.

Challenge

If there’s anyone who’s mastered the art of striking while the iron is hot, it’s our client — a digital travel and hospitality agency in the GCC region. When they ran a diagnostic survey among their customers, they uncovered that a whopping 91% of casual travelers, travel enthusiasts, and digital nomads were juggling a raft of different apps just to piece their trips together. That pain point sparked an idea — why not take the hassle out of travel planning with a convenient, all-in-one solution?

Solution

We helped the client upgrade their existing travel management app by changing an in-app rule-based chatbot with an advanced AI-powered travel assistant that can manage bookings, dynamically adjust itineraries, provide all-round trip research and planning, and analyze post-trip feedback to optimize future travels. 

Result

Here’s the value attained from the new solution, in numbers:

• Annual retention rate saw a 13% uplift over the past year
• Booking conversions increased by 15%, as users discovered options better aligned with their preferences
• Time to finalize a booking was reduced by 40%, streamlining the process for users
• Last-minute cancellations declined by 12%, thanks to better-informed and supported travelers
• Average transaction value grew by 15%, driven by personalized recommendations for relevant add-ons

Hear about the project directly from the CTO:

Instinctools’ ML experts felt like a natural extension of our in-house team. Besides hands-on experience with LLMs, they also follow a business-like approach to solving tech challenges. That contributed to the team delivering before the timeline which makes us look forward to the next projects.

2. Secure Conversational AI chatbot for a Czech Banking App

Here’s another example of how meeting customers’ need for more efficient and fast communication with conversational AI boosted retention.

Challenge

A prominent Czech bank needed an AI-savvy partner by their side to confidently and safely jump on this emerging technology as soon as it gained traction.

Solution

We enriched the functionality of their rigid banking chatbot with NLP and gen AI capabilities, turning it into a stable, ultra-secure, and GDPR-compliant AI chatbot, offering:

• Transactions, investments, credit score monitoring, and more — all from a single dialog box
• A four-minute reduction in response time for customer queries
• A decrease in user queries reaching the client’s call center to just 2%

And the client didn’t stop there. Leveraging our battle-tested expertise in , they implemented an experimental virtual financial advisor — the first of their kind in the Czech mobile banking market.

Result

The new chatbot filled the gaps the old one left so that the client racked up multiple quick wins at once:

• re-engaged their customer base
• strengthened customer loyalty and satisfaction
• increased Net Promoter Score (NPS) by up to 34%

If that’s not a clear path to growth, what is?

3. Ml-powered Demand Forecasting for a Canadian Clothing Retailer

The third project we’d like to highlight demonstrates the power of predictive AI in action.

Challenge

When our client, a Canadian clothing retailer, reached the point where dealing with the limitations of their spreadsheet-based forecasting model was no longer an option, they knew it was time for something more intelligent.

Solution

With our expert guidance, the client empowered their existing Microsoft-based infrastructure with a new Azure ML-driven software with:

• The ability to instantly incorporate new data and respond to market changes in no time

• Multidimensional modeling and advanced scenario analysis for promotions, market fluctuations, and other variables

• Wide access to ML-powered insights through integration with a data visualization tool

Result

A fully automated, adjustable setup helped:

• step up their long-term forecasting accuracy from 23% to 92%

• cut down stockouts to 10%

• and keep overstock within a tiny 5% range

The Sooner, the Better

These examples barely scratch the surface of how organizations can drive growth with AI solutions.

A closer look at nearly every industry or vertical reveals countless use cases, from small-scale, productivity-boosting initiatives to enterprise-wide ones. So, the sooner your organization taps into AI and masters its governance, the more likely you are to grow faster and, more than that, build a moat that keeps your competitors at bay.