Case Study

Streamlined Shipping Updates to Enhance Customer Experience

How we automated shipping notifications, reducing delays and saving 150 hours/month.

85%
Time Saved
6x
Faster Notifications
0
Manual Interventions
Dashboard Orders Shipping Reports Settings Workflow Diagram Start Process End Status Monitor Active Stats Overview
Industry Logistics
Deliverables
Overview

The Challenge & Solution

⚠️

The Challenge

The client faced significant delays in dispatching shipping updates to customers due to the reliance on manual processes. This not only reduced customer satisfaction but also increased the workload on the support team.

  • ✗ Manual bottleneck in sending updates
  • ✗ Delay in customer notifications
  • ✗ Increased workload on customer support
🚀

The Solution

We implemented a robust automation solution that utilized AWS Lambda and Zapier to send real-time shipping updates directly to customers based on triggers from the client's existing ERP system.

  • ✓ Integration with existing ERP for data triggers
  • ✓ Automated real-time notifications
  • ✓ Reduced support team workload
Roadmap

Execution & Deployment

STAGE 01

Discovery

Identified key operational bottlenecks and necessary integrations.

STAGE 02

Build

Developed an AWS Lambda function to automate data extraction and dispatch using Zapier.

STAGE 03

Deploy

Deployed the solution across the client's system and performed thorough testing for performance and reliability.

Results

Measurable Business Value

85%
Time Reduced

Efficiency in dispatching shipping notifications improved by 85%.

150 hrs
Hours Saved

Defined improvements resulted in 150 man-hours saved monthly.

0
Manual Interventions

Elimination of the need for manual intervention in update dispatches.

★★★★★

"The automation transformed our efficiency and significantly enhanced the customer experience."

Laura Gibson
VP of Operations
Visuals

System & UI Mockups

Queue Logs Order #123 processed successfully Order #124 scheduled for shipment Order #125 failed validation Order #126 under review Daily Chart Mon Tue Wed Thu
AI Model Extraction Metrics Confidence Percentage 60% Extraction Audit Details Document ID: 123456 | Confidence: 85% | Status: Verified Document ID: 789010 | Confidence: 78% | Status: Pending
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