Case Study: AI-Powered Pricing Engine, 20% Faster Logistics, 15% Higher Sales for Gas Station chain

Client:

Our client, a leading fuel retail and distribution network in Eastern Europe, manages hundreds of fueling stations. Every day, they faced a tough balancing act: fuel prices changing with the market, unpredictable demand spikes during holidays or cold weather, tanker logistics that had to run like clockwork, and customers expecting fast, personalized service. They needed an intelligent way to run operations – and that’s when they turned to us at Engipulse.

Services Provided:

Engipulse stepped in as a technology partner, along with the client’s leadership team. Together with the client’s team, we delivered end-to-end AI engineering and system integration, introducing solutions designed to bring intelligence into every corner of the business:

Technologies:

Behind these solutions stood a robust technology stack – chosen for both scalability and real-time performance:

Project Overview:

The goal wasn’t just to upgrade IT systems, but to transform operations. The client was lacking smarter decisions on pricing, accurate demand forecasts, fraud detection and prevention, and a more rewarding customer journey. Our team was engaged to design and implement a multi-layered AI solution that worked on two levels: streamlining back-office efficiency and creating smooth, personalized experiences at the front line.

Scope of Work:

Our AI-powered ecosystem included:

• Dynamic Fuel Pricing: algorithms that adjusted prices in real time, considering demand, competition, and exchange rates.
  
• Demand Forecasting: predictive analytics that factored in weather, holidays, and local events to keep stock levels balanced.
  
• Supply Optimization: route planning for fuel tankers, cutting costs and improving delivery reliability.
  
• Cross-Selling at Checkout: a recommendation engine offering relevant products, turning routine transactions into upsell opportunities.
  

Challenges:

On the journey to transformation, several obstacles had to be overcome:

• The volatile fuel pricing environment, tied to global markets.
  
• The need for real-time fraud detection without slowing down service.
  
• Designing scalable logistics solutions to support hundreds of daily deliveries.
  
• Customer retention pressures in a competitive industry where loyalty is easily lost.
  

Why Engipulse:

The client chose Engipulse because they needed a partner who could combine deep technical expertise with business insights. 

What stood out:

• A proven track record in delivering AI solutions for retail and logistics sectors.
  
• Professional approach to system design, especially in the area of non-functional requirements like security, performance, and scalability.
  
• Transparent cooperation model – a risk free requirements discovery phase (its cost is reimbursed if you build a team with Engipulse), and Dedicated Team with full responsibility for delivery.
  
• Great communication from the first touch and partnership mindset, ensuring solutions weren’t just delivered but adopted and embraced.
  

Key Results:

• The transformation delivered measurable impact across operations and customer experience:
• Over 5 % increase in fuel sales margins through AI-powered pricing.
• 20% improvement in supply chain efficiency via optimized tanker routing.
• 10% uplift in non-fuel retail sales through smart recommendations.