Search
Close this search box.

AI and Demand Forecasting in Supply Chain Technologies

The supply chain has little room for error.

Automation is not a new process in the global goods industry, but the full potential of technology integration is still untapped. Informed companies gather data at every step of the supply process—from the conditions of source materials to the delivery of final goods. That data can then be used in artificial intelligence (AI), machine learning, predictive analytics, and other tools to simplify complex supply chain processes.

Supply Chain Cargo Crates

AI and machine learning automates and simplifies complex practices.

Tracking information at every step of the process, each present-day supply chain has large, complex data sets with the ability to produce insights. ePeak can collect, analyze, and visualize this data in insightful ways to inform future processes. Potential outcomes of this kind of partnership include automated warehouse operations, improved delivery times, and the ability to proactively manage inventory.

Modernizing operations creates efficient user experiences that has shown to increase customer satisfaction and boost overall sales. Using AI and machine learning to automate these insights with little to no intervention leaves more time for employees to focus on the more human aspects of the business; responsibilities like customer service and support and producing the highest quality products possible can get the attention they deserve.

Demand forecasting reduces errors.

Inventory forecasting has historically relied on static, past data, but online brands are able to utilize demand forecasting to optimize and replenish inventory more accurately and efficiently with information they are already collecting. ePeak’s machine learning engineers and specialists are able to collect and combine data from multiple resources, both internal and external—using information such as user demographics, reviews, and even the weather to produce real-time demand forecasting.

Predictive analytics are used to lower costs, gain inventory visibility, and optimize the material replenish phase. Understanding the ebbs and flows of your product’s demand creates opportunities to spend less time on the administrative functions and more on getting your product to market.

ePeak’s experienced data analysts, machine learning engineers, systems integrators, and software developers can help build and streamline your supply chain technologies for manageable and informed processes and systems.