The word AI is all the buzz right now. But, as a business owner, how do you effectively cut through all the hype and hearsay to adopt AI in an ethical, practical way?
According to a Georgetown Journal of International Affairs post, early adopters of AI-enabled supply chain management have reduced logistics costs by 15 percent, improved inventory levels by 35 percent, and enhanced service levels by 65 percent.
You might think, “Well, adapting AI to our workflow will be too costly.” However, the same report noted that 70 percent of CEOs (from over 150 firms) agreed that AI is delivering a “strong ROI.”
Understanding your data is essential to operational success in today's fast-paced supply chain industry, but managing and utilizing that data effectively can be challenging. Mismanaged or unused data can lead to inefficiencies, increased costs, and—even worse—lost opportunities. In this blog, we will explore the top five data challenges that supply chain professionals face and how to overcome them using advanced AI tools like Querri.
The Challenge: Supply chain data is often scattered across multiple systems, such as Enterprise Resource Planning (ERP), Transportation Management Systems (TMS), and Warehouse Management Systems (WMS). This fragmentation makes it difficult to consolidate data from suppliers, carriers, and customers, leading to inefficiencies and incomplete insights.
The Solution: Querri offers unified data integration, enabling businesses to import data from various platforms into a single, user-friendly environment. By merging datasets, Querri provides a comprehensive view of operations, empowering better decision-making and collaboration.
The Challenge: Dirty data, including duplicate, inconsistent, or incomplete records, is a common issue. Cleaning this data manually is time-consuming and error-prone, delaying critical business processes.
How Querri can help: Querri automates the data cleaning process using AI and Python scripts. It removes duplicates, standardizes formats, and fills in missing values with ease. By automating these tasks, businesses save hours of manual work and improve the reliability of their data.
The Challenge: Accurate demand forecasting is obviously crucial - but it requires a lot of care and consideration, and is sometimes thwarted by human error. Inaccurate forecasts can lead to overstock, stockouts, or missed sales opportunities. Many businesses struggle to integrate historical data and external factors into their forecasting models.
How Querri can help: Querri’s advanced forecasting models leverage AI to predict demand based on historical trends, seasonality, and external variables. These insights help businesses optimize inventory levels, ensuring they’re prepared for fluctuations in demand.
According to McKinsey, AI-based forecasting transforms supply chain management by reducing errors by 20-50%. This translates into cutting lost sales and product unavailability by up to 65%. Moreover, it optimizes warehousing costs (5-10% reduction) and slashes administration expenses (25-40% savings)
The Challenge: Operational inefficiencies, such as suboptimal route planning and inventory mismanagement, increase costs and reduce profitability. Suboptimal delivery routes result in higher fuel expenses and delays, while inefficient inventory management leads to excess holding costs.
According to surveys by Deloitte, the transportation use cases seeing the highest adoption and impact are asset management, route optimization, and warehouse operations.
How Querri can help: While these implementations are mostly limited, more than half of companies surveyed by Deloitte are running gen AI initiatives within each of these use cases, and roughly 80% of adopters report extremely high or high economic value in each use case.
Querri’s route and resource optimization tools analyze data to suggest the most efficient delivery routes, reducing fuel costs and improving delivery times. Its inventory management features help businesses maintain optimal stock levels, reducing waste and holding costs.
The Challenge: Supply chain professionals often lack access to centralized dashboards that provide real-time insights. Without actionable data, decision-making is delayed, and opportunities for improvement are missed.
How Querri can help: Querri enables the creation of customizable dashboards that offer real-time visibility into key performance indicators (KPIs) such as inventory levels, delivery statuses, and supplier performance. These dashboards make it easy for teams to access actionable insights and make informed decisions quickly.
Querri is designed to simplify data processes and drive results. Here’s how it addresses these challenges:
Data challenges can no longer be a bottleneck in the supply chain industry. With tools like Querri, businesses can overcome these obstacles, unlock the full potential of their data, and achieve greater efficiency and profitability. Ready to transform your supply chain operations? Contact us today to learn more about Querri’s solutions.
Clean data is the foundation for leveraging advanced technologies like AI. Without accurate and organized data, even the most sophisticated AI tools...
Unlock the hidden potential of your chaotic datasets with Querri's advanced data cleaning and preparation tools.
Using natural-language powered Querri to tackle the messy data problem.