Operations

Intelligent Automated Staff Scheduling Transforms Retail Operations Across Thousands of Locations

What We Accomplished

17,200

Retail Stores Managed

5,900

Schedules Automated

70%

Reduced Administrative Overhead
ABOUT COMPANY
National Discount Retailer
A leading national discount retail company operates a large network of stores and distribution centers throughout North America. This company is recognized as one of the top businesses in its sector, managing two well-known retail brands across numerous locations.
Industry:
Retail

Project Overview

A national retailer engaged InAir Studio to implement an intelligent scheduling algorithm to enhance staff allocation by integrating employee skills, geolocation, and availability, streamlining operations across its expanding store network.

Challenge

The national retailer relied on a manual, spreadsheet-based approach to assign Store Development staff and Regional Managers to various stores, leading to significant and costly scheduling inefficiencies. With each region and corporate headquarters using its own spreadsheet, coordinating assignments and ensuring consistency across the company became a major challenge.

Solution

  • Designed and built a Scheduling Operations Management System in Airtable 
  • Developed an advanced team resource allocation tool to adequately assign staff members according to geolocation, need, skill-set, and availability
  • Created custom Airtable Interfaces showcasing Scheduling Project and Employees

Result

  • Intelligent scheduling has dramatically streamlined the assignment process, ensuring regional staff are matched with stores based on availability, skill sets, and proximity. 
  • Better collaboration between corporate leadership and regional teams with real-time visibility into a single system

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Rafael Rashid, Founder

Good Hustle Group

Sergio has been the best to work with. Nothing is ever a problem. Sergio has taken our ideas and worked them into a functioning base. He is very easy to work with. I highly recommend.

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