Image recognition and text mining in Retail
We helped one of the global retail companies to optimize advertising processes in internet using text mining and increase effectiveness of the operational activities using image recognition
Optimize manual work
High traffic on the internet and customer awareness make product promotions extremely difficult on the online market. A company needed an automated tool, which would help them to promote products on the Internet, classify and choose best search terms without manual entry.
Decrease time was set for operational activities
Workers spent a lot of time analyzing products in stores and determining product assortments. Solution should help to optimize overall time.
Better products personalization
Company want to monetize all available data for better product recommendation using system which will take into consideration preferences of individual users and find the best offer in appropriate time.
Customized machine learning model for text classification
We developed Machine Learning algorithms for natural language processing, which were based on the terms of classification history. Models are self-learning and automatically adapt to new sets of data. Terms are classified automatically without human intervention.
Custom machine learning model for image recognition
We developed Machine Learning algorithms for image recognition, which recognize brand and type of products. Models are working in real time and automatically adapt to new sets of data.
Custom recommendation engines
Created a data-driven recommendation engine that analyzes a huge amount of transactional and customer behavioural data to increase sales, overall business performance and client engagement and satisfaction.
We optimized advertising operational processes by increasing speed and quality of decision making actions with use of self-learning ML algorithms, which eliminated human interaction.
Less incorrect classifications
Hours of labour saved each month