Manufacturing

ML based Asset Tracking iPad app increased operational efficiency of protective equipment management by 300% and revenue by 65 %

About the Client

Global company providing personal safety equipment to manufacturing and other industries that have a risk-prone workplace. The client offers products that focus on human safety, control risks and prevent incidents leading to injury. Specifically, B2B iPad application dealing with safety gears and equipment.

The Challenge

The client was not able to manage detection of private and safety equipment resulting in threat of premium category of equipment and additional burden of procurement. Further it created high imbalance in demand and supply equation with fear of losing trust in management and employee.

  • Limited tracking of department wise protective equipment ended with spending more money and efforts.
  • Lack of control on inventory management has increased cost.
  • Without having charts and drill down reports at single dashboard, decision cycle get delayed and chances of recurrence of error is high.

What We Did

  • Data Acquisition
  • Predictive Analysis
  • Classification
  • Data Cleansing
  • Statistical Modelling
  • Enterprise App Development
  • Clustering
  • Machine Learning
  • Data Acquisition
  • Predictive Analysis
  • Data Cleansing
  • Statistical Modelling
  • Clustering
  • Machine Learning
  • Classification
  • Enterprise App Development

The Solution

Using ML based Asset Tracking, iPad app increased operational efficiency for better management of protective equipment.

  • Find out which department is spending how much on different gears and equipment.
  • Properly manage your inventory by reducing the carrying costs of inventory.
  • Choose the right safety equipment vendor by comparing goods based on quality and price.
  • Keep a track of items and reduce loss and damage of assets on different job zones.

Results & Outcomes

DXFactor developed Smart Asset Tracking system leveraging Machin learning technique used historical and real-time data to manage all protective equipment accurately and efficiently.

100%

uptime with safety on the floor

98%

accuracy in inventory management with machine learning technique

85%

boost in productivity of employee with intime