Shipolog — AI-Powered Fulfillment Platform for E-Commerce Sellers
An AI-driven fulfillment platform that unifies multi-marketplace inventory, automates pick-and-pack, and delivers real-time operational visibility.
What we were asked to solve.
Sellers across marketplaces like Amazon, Walmart, and eBay juggled disparate systems for tracking, packing, and shipping — leading to errors and inefficiencies. Traditional packing slips slowed operations and increased error rates during high-volume periods. Manual inventory reconciliation across platforms caused overselling and cancellations. Teams lacked centralized, real-time insight across orders, team performance, and inventory.
How we engineered the solution.
AI Product Mapping & Inventory
Retrieves active listings from connected marketplaces and matches them automatically to physical inventory using SKUs, barcodes, and product metadata. Supports bundle and kit logic, tracks required quantities, and updates stock across all platforms in real time.
Automated Pick-and-Pack
Product-based fulfillment workflow eliminates paper packing slips — reducing pick-pack time by up to two-thirds and allowing new hires to start with minimal training.
Instant Order Lookup
Any device can scan a barcode to instantly retrieve product and shipping details — dramatically reducing picking and shipping errors.
Performance Monitoring
Logs packer activity (who packed what, when) and merges real-time shipment updates from USPS, UPS, and FedEx into a unified operational dashboard.
AI-Driven Reporting
Customizable dashboards surface daily sales per marketplace, fulfillment tasks, inventory movement, and P&L. AI-generated alerts flag low stock, underperforming listings, and pricing anomalies.
What changed for the business.
Pick-and-pack times cut by up to 66% — higher throughput and efficiency.
Barcode lookup and AI mapping drastically reduce picking and shipping errors.
Real-time inventory sync prevents overselling and improves customer satisfaction.
Role-based dashboards empower team-wide decision-making and transparency.
AI-driven automation scales cleanly across multiple channels and order volumes.
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Facing a Similar Engineering Challenge?
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