CLIENTLogistics SectorGOALRunning AI Design Sprint workshops focused on discovering opportunities for applying machine learning solutions in the freight forwarding sector? Challenge Accepted!WE MADE IT!Freight forwarding is a complex industry with many variables and actors involved in each shipment. It can be challenging to identify which processes would benefit most from automation or where machine learning could be applied. A freight forwarding company operating in the European Union sought to apply machine learning solutions to increase efficiency and uncover new business opportunities.The team was looking for a way to increase profits by streamlining core business processes while improving customer retention. After several days of hard work, the team was able to identify several opportunities that could be pursued. The company turned to an AI Design Sprint methodology to focus on specific areas for improvement and define a clear path forward.The company is now in the process of implementing these solutions and is seeing positive results. The AI Design Sprint was a success and has helped the company uncover new opportunities for applying machine learning solutions and map the roadmap towards AI maturity.TOOLSPython, PyTorchIf you’re interested in learning more about AI Design Sprints and how they can be used to solve problems in your organization, contact us today! We’d be happy to chat with you about your specific needs and objectives.

CLIENTPharmaceutical SectorGOALRunning AI Design Sprint workshops focused on discovering opportunities for applying machine learning solutions in the pharmacovigilance sector? Challenge Accepted!WE MADE IT!The client is a pharmaceutical company that operates in the pharmacovigilance sector. They were looking for opportunities to apply machine learning solutions in their PV workflows. However, they lacked expertise in this area and didn’t know where to start.We ran AI Design Sprint workshops with the client’s PV team to help them discover opportunities for applying machine learning solutions. The goal was to map the current PV workflow and identify potential pain points that could be addressed with machine learning solutions.The first step was to understand the client’s business context and objectives. We then gathered data about the PV workflow from various sources, including interviews with PV experts, a review of existing literature, and an analysis of publicly available data sets.Next, we used this data to generate insights about potential areas where machine learning and natural language processing could be applied in the PV workflow. Finally, we created a prototype solution that demonstrated how these machine learning solutions could be integrated into the PV workflow.TOOLSPython, Natural Language Processing, TensorFlow, Google Cloud Platform, AI Design Sprint If you’re interested in learning more about AI Design Sprints and how they can be used to solve problems in your organization, contact us today! We’d be happy to chat with you about your specific needs and objectives.

CLIENTTravel SectorGOALDeveloping a platform that enables smooth corporate travel booking and management? Challenge Accepted! WE MADE IT!The client, a large travel management company, approached us with a challenge to develop a corporate booking tool that would make business travel easier and more efficient for companies of all sizes.The solution we provided was a web application focusing on business trips. It included all the features our client required, such as an extensive range of travel options, management tools, and 24/7 support.We developed multiple integrations with various flight providers, accommodation engines, and integration with rail providers to provide a large travel inventory. Thanks to direct integrations with providers, the platform offered special prices compared to other solutions.We delivered management features, including an approval process, booking delegation, and spending limits. The tool had advanced options for user management and setting and executing travel policies. Additionally, we built a recommender system that provided travelers with personalized recommendations based on their previous bookings. This way, they could easily find the best travel options for their needs without spending hours searching.Lastly, to provide a smooth expense management module, we developed an NLP-based feature that enables photo uploads of all travel invoices and automatically extracts all the relevant information such as cost, date, and vendor. This way, employees can easily submit their expenses for reimbursement without having to fill out tedious forms.Thanks to our efforts, our client now has a platform that can offer their corporate clients a wide range of travel services that are easy to use and scalable. The user-friendly platform design and custom illustration make corporate travel booking and management smooth and pleasant. TOOLSJava, Vue.JS, Python, Tensorflow, Google Cloud Platform