DATAMIND’s Customer Intelligence solution provides a better customer understanding and experience by turning data into useful insights with analytical problem-solving techniques. n11.com, one of the leading e-commerce shopping platforms, decided to attract customers by timely and thoroughly recognizing their interests and needs. Read now how Datamind helped n11.com on their customer intelligence journey!

"In our company, the application we use to identify the fraud cases could hardly respond to our demands with the developing technology. Under the scope of the project carried out with Datamind, the aim was to reach more data and minimize manual checks after the damage report. In this context, we provide support to our customers and business partners to experience IT solutions in real time, to connect to demo environments and to benefit from PoC facilities, as well as to make them able to act with the right design in all these processes with our technical consultants. The Fraud project impmented by Datamind in the Groupama Insurance Fraud is unique in Turkey and it sets a good example of our works."

Retail Banks must supply the right amount of cash at the right time for their ATM networks. Having the right amount to meet demand while avoiding the excess cash which could be invested elsewhere is imperative to maintaining profitability. Learn more how DATAMIND’s Dynamic Demand Forecast help retail banks to analyze every demand driver to determine the real need for a product at any point in time.

Data is huge, flowing fast and varies extensively. It is impossible to manage data without knowing and governing your data. Furthermore, corporations feel the pressure from the emerging regulations like GDPR. Learn more about how Datamind help customers to get value from data and by this provide best service to our customers by. Data Governance and GDPR solution.

DATAMIND’s Predictive order solution enables companies catch opportunities, activate the potential in each location, minimize stockouts, offer most valuable trade promotions for both parties, optimize product portfolio, maximize display placement compliance leading to omnichannel experience for customers. Learn more how DATAMIND helped CCI to increase the variety of SKU's that sold per customer, minimize stockout performance and optimize trade promotion components.

" DATAMIND’s Enterprise Data Warehouse and Business Intelligence platform, provided an open collaborative, self-service environment where our users can find answers for their questions quickly and make data driven agile decisions. Thanks to this platform, now we know and understand our passengers better and interact with them in real time. We also gain insight on comparative location performance, able to predict & manage the baggage operations more efficiently, maximize usage of capacity and handle bottlenecks proactively"

Globalization, new digital ecosystem and new generation consumers are changing the way businesses manage their pricing strategies. It is not enough to know the right pricing strategy to stay ahead of the game in the market but also manage and optimize prices by predicting the right prices with the perfect balance between profit and value. DATAMIND's Strategic Pricing approach enables forecasting and managing revenue, profitability, and sales by data-driven decision mechanisms within different price, period, promotion and market control.

AI Base Process optimization Solution automates data integration that transforms the raw data into linked datasets according to data model, and so helps to quickly take, clean, analyze and optimize the sensor data. By making data-driven decisions you can increase manufacturing quality and reduce your production costs. Learn more on how DATAMIND helped a manufacturing company to increase quality and revenue by saving energy and prevent unexpected production failures with AI

DATAMIND’s Predictive Maintenance monitors sensors data to track the performance of assets, to detect possible defects and inform executives before possible downtimes. Machine sensor data is ingested into the system and feeds into predictive maintenance models in real time. Data flow updates predictive models automatically for continuous accuracy improvement.

Learn more on how DATAMIND’s AI based Predictive Quality solutions help a textile manufacturer who wanted to create and monitor necessary control mechanisms of sensor data from production lines in real time and identify root causes of manufacturing errors with analytics to shorten the investigation time significantly.

Quality control is a fundamental component of manufacturing processes. Manual quality control procedures are often time-consuming, inconsistent and error prone. DATAMIND provides AI powered fault detection system with image processing, pattern recognition and Deep Learning capabilities to recognize and categorize various kinds of defects. Read more on how Datamind helps one of the leading acrylic fiber manufacturer to develop a real time early fault detection system in order to shorten production stops and faulty product rate.