With rapid advancements in analytics and machine learning (ML), companies can now proactively examine master and transactional data in near real-time and use the insights derived to plug the gaps and revenue losses. ML algorithms and the models they are based on, excel at finding anomalies, patterns, and predictive insights in large data sets. This paper highlights some of the key challenges in inventory management and recommends a data-intensive, ML-based methodology to address two major problems – inventory planning by sales forecasting and high volume of return orders.
Voice assistance is an AI-powered technology that understands what humans are saying. Actually, Voice recognition and Artificial Intelligence are having a deep link between them - Voice recognition technology has improved its efficiency by adopting AI algorithms and solutions that are leveraging voice recognition to provide the customer with the best experience.
Predictive Analytics is expected to reach a global market of $10.95 billion approximately by 2022 as per the reports by Zion Market Research.
Find out how predictive analytics will be of great benefit to the eCommerce industry in the near future.
Computer vision holds countless everyday personal and business applications. One may engage them for shopping, for driving, and for so much more. Please have a look at the findings, based upon a few different industries.
Deep Learning and Machine Learning are not the quite the same. Yet they bear some similarities. Let us have a closer look in this white paper.