Automation System for Dropshipping Company
Project Summary Client is a large-scale dropshipping company, managing millions of product listings across multiple marketplaces. Initially, all records were maintained manual...
Project Summary
Client is a large-scale dropshipping company, managing millions of product listings across multiple marketplaces. Initially, all records were maintained manually in Excel spreadsheets, requiring extensive labor to update supplier data, sync with marketplaces, and track product availability. This approach resulted in frequent errors, slow decision-making, and limited scalability.
InStandart developed a comprehensive automation system that consolidated product data into a unified database, integrated external market information, and introduced analytics and auto-decision mechanisms. This enabled client to drastically improve accuracy, accelerate business processes, and expand its marketplace presence.
Business Challenges
Client faced critical operational inefficiencies:
- Manual Data Entry: Product and supplier data were handled in Excel, requiring hours of repetitive work.
- High Error Rates: Manual synchronization with suppliers and marketplaces frequently led to mismatches, out-of-stock sales, and pricing errors.
- Slow Decision-Making: Managers lacked integrated analytics, relying on delayed and inconsistent reports.
- Scalability Limits: The company struggled to handle growth due to fragmented tools and labor-intensive workflows.
Solution
InStandart implemented a fully automated e-commerce management platform with the following features:
- Centralized Database: Consolidation of all product, supplier, and marketplace data into one structured repository.
- Automated Data Integration: Real-time synchronization with suppliers and marketplaces, eliminating the need for manual updates.
- Analytics & Dashboards: Built-in reporting tools for faster decision-making and trend analysis.
- Error Reduction Tools: Validation and monitoring mechanisms to minimize mismatches and stock errors.
- Automated Decision-Making: Introduction of an auto-repricing engine to optimize product competitiveness and profitability.
Results
The transformation delivered measurable impact:
| Metric | Before Automation | After Automation |
| Data Entry & Sync | Fully manual, error-prone | Fully automated, error-free |
| Error Rate | Frequent (stock & price mismatches) | Reduced to minimal occurrence |
| Decision-Making | Slow, based on Excel | Real-time dashboards |
| Scalability | Limited to thousands of SKUs | 10+ million SKUs managed |
| Market Position | Outside top sellers | Top 10 Amazon USA seller |
Additional Benefits:
- Increased profitability through dynamic repricing.
- Improved collaboration across teams with a single source of truth.
- Ability to process and analyze much larger volumes of marketplace data with higher accuracy.
✅ Thanks to the automation system, client achieved operational excellence, scaled its marketplace presence, and became one of the top 10 Amazon sellers in the USA, managing over 10 million SKUs.