How CanAI in E-commerce Logistics Facilitate Decision-Making? On November 26, join us for a 30-minute live demo to discover three practical applications in Shippingbo: track your orders with NAIA, detect anomalies using AI audits, and analyze your product turnover with sales classes.
Checking the status of an order, spotting an anomaly in operations, or identifying the products that sell the fastest: these tasks are part of the daily routine for logistics teams. However, accessing the right information and making use of it often takes time.
- 3 Practical Ways to Use AI to Manage Your E-Commerce Logistics
- Discover how AI can transform your logistics operations
What ifartificial intelligence applied to e-commerce logistics could help you make decisions faster, based on your business data?
On Thursday, November 26, 2026, from 11:00 a.m. to 11:30 a.m., Shippingbo invites you to a 30-minute live demo webinar focused on three practical uses of AI: order tracking with NAIA, anomaly detection with AI audits, and product turnover analysis using sales classes.
3 Practical Uses of AI to Manage Your E-commerce Logistics
From order management to inventory tracking and performance analysis, e-commerce and logistics managers have access to a wealth of data. The real challenge? Turning that data into useful insights to better manage their operations.
With its new AI features, Shippingbo offers a more direct approach to operational analysis.
During this demo, Pierre Bonhoure, Lead Front-End Developer at Shippingbo, will present three practical applications, right within the platform.
NAIA: Query Your Logistics Data in Natural Language
Where is an order? Why is it on hold? What is its shipping status?
With NAIA, Shippingbo’s AI assistant, teams can ask questions in natural language to find information related to their operations.
Rather than performing multiple searches within the interface, the user enters their request directly. NAIA can help the user view order details, check an order’s status, or look up inventory information, among other things.
During the live demo, you’ll learn how to analyze your logistics data with NAIA and in what situations this assistant can make the day-to-day work of e-commerce, logistics, and customer service teams easier.
AI Audits and Sales Categories: Detect Anomalies and Identify Your Priorities
Beyond order tracking, AI can also facilitate the analysis of logistics performance.
Primary use: AI audits. These analyses use your business data to identify trends, anomalies, and operational issues.
An unusual concentration of orders in certain time slots? Significant fluctuations in volume? AI audits help identify these patterns so you can better understand your order flows and make more informed decisions.
Second use: Sales Classes. This feature allows you to categorize products based on their turnover, using an A, B, and C classification:
- Class A: High-turnover products that need to be secured and prioritized.
- Class B: Items with moderate turnover that require monitoring.
- Class C: slow-moving or dormant products, whose storage should be reevaluated.
Reviewing the catalog in this way helps identify priority SKUs and informs decisions regarding storage, restocking, and order fulfillment.
During the webinar, you’ll see how these features can help you manage your e-commerce logistics more effectively by linking available data to concrete operational decisions.
Discover how AI can transform your logistics operations
The value ofAI in e-commerce logistics lies not only in its ability to analyze data, but also in the ways it can be applied in day-to-day operations.
With NAIA, AI audits, and sales classes, Shippingbo combines the centralization of logistics operations with new decision-support tools.
Join us on Thursday, November 26, 2026, from 11:00 a.m. to 11:30 a.m., alongside Pierre Bonhoure, to see these features in action during a 30-minute hands-on demonstration.
FAQ
AI in e-commerce logistics makes it easier to access operational information. With NAIA, Shippingbo’s AI assistant, teams can query their data using natural language to track an order, check its status, or identify a problem.
Shippingbo’s AI audits analyze logistics data to identify trends, unusual variations, and areas of concern. They help logistics managers better understand their workflows and prioritize corrective actions.
Sales classes allow products to be categorized into three groups based on their turnover: A for high-turnover items, B for medium-turnover items, and C for low-turnover items. This classification helps prioritize restocking, storage, and order picking.
The Shippingbo live demo webinar will take place on Thursday, November 26, 2026, from 11:00 a.m. to 11:30 a.m. Hosted by Pierre Bonhoure, it is aimed at e-commerce and logistics managers who want to discover practical applications of AI. To participate, register using the webinar form.