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🛒E-commerce & Retail

Automated Purchasing System: From Accounting to Cart

Developed an intelligent RPA solution that automatically extracts product data from accounting software and creates purchase orders in the online store, eliminating manual data entry and reducing ordering time by 92%.

📅 September 20, 2024⏱️ 7 min read🏢 Retail Distribution Company
RPAE-commerce AutomationAccounting IntegrationOrder Processing

Key Results

92%
faster ordering
99.5%
order accuracy
€45,000
annual savings
10
days implementation

About Retail Distribution Company

A mid-sized retail distribution company managing inventory across multiple product categories, requiring regular replenishment orders from supplier online stores based on accounting system data.

The Challenge

The client's purchasing team spent hours daily manually copying product information from their accounting software to create orders in supplier online stores. This tedious process was error-prone and prevented the team from focusing on strategic supplier relationships.

Pain Points:

  • ⚠️Manual data entry taking 3-4 hours daily per employee
  • ⚠️Frequent errors in product codes and quantities (5-8% error rate)
  • ⚠️Delayed orders due to time-consuming process
  • ⚠️No time for price comparison or supplier negotiation
  • ⚠️Inconsistent ordering schedules affecting inventory levels

The Solution

We developed a comprehensive RPA bot that seamlessly integrates with the accounting software, extracts required product information, validates inventory needs, and automatically populates shopping carts in supplier online stores with proper quantities and specifications.

Solution Components:

Accounting System Integration

Automated login and navigation through the accounting software to extract product data, current stock levels, and reorder thresholds.

Intelligent Data Extraction

Smart parsing of product information including SKUs, descriptions, quantities needed, and preferred suppliers.

Multi-Store Cart Automation

Automated navigation across multiple supplier online stores, product search, and cart population with correct items and quantities.

Validation & Error Handling

Built-in validation checks for product availability, price changes, and quantity limits with automatic alerts for exceptions.

Order Summary Reports

Automated generation of detailed order summaries for review before final submission, including price comparisons.

Implementation

Total Timeline: 10 days

Discovery & Analysis

3 days
  • Accounting system workflow mapping
  • Supplier store analysis
  • Product data structure review
  • Exception scenario identification

Development & Testing

5 days
  • RPA bot development
  • Integration with accounting system
  • Multi-store automation setup
  • Testing with sample orders

Deployment & Training

2 days
  • Production deployment
  • Team training on monitoring
  • Exception handling procedures
  • Documentation delivery

The Results

The automation transformed the purchasing workflow, reducing order processing time from 3-4 hours to just 15 minutes, while significantly improving accuracy and freeing the team to focus on supplier relationships and cost optimization.

Performance Improvements:

Order Processing Time

92% reduction
Before
3-4 hours daily
After
15 minutes daily

Order Accuracy

4.5% increase
Before
92-95%
After
99.5%

Data Entry Errors

90% reduction
Before
5-8 errors/day
After
0-1 errors/day

Staff Time Savings

€45k annual savings
Before
20 hours/week
After
2 hours/week

Additional Benefits:

  • Consistent daily ordering schedule improved inventory management
  • Team now focuses on price negotiation, saving additional 8% on procurement costs
  • Faster order placement improved product availability by 15%
  • Automated price tracking alerts team to supplier price increases
  • Detailed audit trail for all orders improves compliance
"
This automation completely changed how our purchasing team works. What used to take the entire morning now happens in minutes, and our team can finally focus on building better supplier relationships instead of copying data between systems.
M
Maria Kowalski
Procurement Manager, Retail Distribution Company

Technologies Used

RPA AutomationWeb ScrapingAPI IntegrationDatabase QueriesCustom Validation Logic

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