Our Projects
Automated Ad Bid Optimizer
An e-commerce company had been spending a significant chunk of their budget on ads not knowing whether bidding more will lead to higher ad position in advertisement websites. We tackled this by building a bidding algorithm that calculated optimal bids in real-time by considering factors like seasonality.
Improving client retention with AI
One of the leading telecom companies in Spain was experiencing high levels of customers leaving every month. Their internal marketing efforts were showing increasing sales but the retention rate of customers was low. We implemented a predictive system, pinpointing when clients might leave, enabling personalized engagement.
Pipeline and Dashboard for Telecom Company
We helped a Spanish telecom company create a unified AI dashboard helping them visualize geographical issues with antenna performance and helped them anticipate quality problems with their customers, acting proactively before they occur. This involved building their own data preprocessing pipeline to extract, load and transform their raw data and handling hundreds of gigabytes seamlessly.
Real-time Pricing for a Leading Airline
One of the largest airlines in Europe was pricing their flights using humans that manually assigned prices to thousands of flights. We helped shift this to a real-time pricing system using our own custom-built algorithm. This helped increase revenue, price personalization by route and free the time of dozens of employees.
Real-time population projections dashboard
A major international organization wanted to build a shared dashboard for all statistical offices around the world to generate their own population forecasts and statistics. We helped them achieve this by several resilient dashboards that handled all their inputs and computations, together with security measures for the incoming data.
Workforce Optimization in Logistics Warehouses
Handling logistics workload when demand is intermittent poses a challenge for logistics. This company relied on set rules to allocate hours to their employees when demand was uncertain but wanted a more data-driven approach. Our solution provided demand forecasting for each product, enabling efficient staff planning.