Algolytics provided DHL Parcel Poland with a SaaS solution to improve address data quality. DHL needed better address verification, geolocation, and autocompletion for logistics operations. Algolytic...s' service verified, cleaned, and geocoded addresses, helping with delivery and route planning. As a result, 99% of addresses are now correctly verified and geocoded. DHL also reduced manual work and increased the number of parcels delivered by each courier.
Algolytics' MLOps platform helped Novalend automate its credit risk assessment process. Novalend, a lending platform for micro and small businesses, needed to speed up application analysis and reduce... manual errors. The solution enabled a faster application process, required less data, and optimized credit risk. Novalend increased the number of loans granted and saved time and resources.
Scoring.One helped Epeer, a peer-to-peer lending platform, speed up loan approvals. Epeer needed a scoring system that used more than just BIK data. Algolytics built a solution using Machine Learning..., AI, and neural networks. The new system gives a credit decision in 0.1 seconds. Users can get a loan in 20 seconds with just 3 clicks. The platform also keeps user data safe with strong anti-fraud rules.
Scoring.One from Algolytics helps ComperiaRaty match loan offers to customer needs. The solution aggregates and processes data in less than 1 second. It finds the best loan offer with a high chance o...f approval. Customers can get a loan decision in as little as 10 minutes. This speeds up the loan process and improves customer experience.
Property Group used Algolytics' Customer Data Platform to automate and personalize marketing for their real estate portals. They wanted to match property offers to user needs and increase sales. Algo...lytics' machine learning software profiled users and matched offers automatically. This led to a 400% increase in converting leads per year. The portals now reach 1 million users monthly and have full marketing automation.
Algolytics provided Minte.ai with an NLP module and MLOps engine to automate medical claims handling for insurance companies. Minte.ai needed to analyze medical document scans with high precision and... easy integration. The solution helped reduce application handling costs. It also made application processing faster and more objective. This improved the efficiency of medical claims assessment for insurers.
CASE STUDY Institute for Territorial Development (IRT)
Algolytics provided the Institute for Territorial Development (IRT) with a comprehensive spatial address database. IRT faced challenges with scattered and non-standardized data, making it hard to pla...n investments and public policies. The Algolytics solution integrated resident, business, and demographic data with precise geographic coordinates. This helped IRT optimize infrastructure investments, manage risks better, and shape public policies more effectively. IRT now makes more accurate analyses and faster decisions using reliable data.
Bonprix used the Algolytics API for address data standardization. They faced problems with inconsistent customer data, causing up to 30% of orders to need manual checks. The solution achieved 99% acc...uracy in standardizing and geocoding address data in Poland. Manual order verification dropped 30 times. Most shipments now reach Poland and the Czech Republic in 48 hours. Call Center service quality improved and costs went down.
Scoring.One helped PGE Capital Group automate the creditworthiness assessment process for contractors. Before, PGE used manual data entry, which slowed down risk assessment. With Algolytics, PGE auto...mated the process and improved model performance, reaching ROC scores of 83%-95% and Gini scores of 66%-90%. The new system reduced assessment time by about 20%, lowered operational risk, and made financial risk management more effective.
