Predicting demand and optimizing workforce management

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Background

Canada’s leading food and drugstore company is a key player in the food and pharmacy sectors in Québec and Ontario. With a strong focus on nourishing the health and well-being of communities, the company operates a wide network of food stores and drugstores, providing employment to a significant number of people.

Hacktractive developed and deployed an AI-powered workforce management system across 89 METRO stores, revolutionizing demand prediction and staff optimization through machine learning algorithms.

Industry:
Supply Chain
Location:
Montreal - Canada

Solutions

Ai powered decision tool

– Enhances inventory management to minimize food loss and prevent stock shortages, optimizing sales.
– Empowers store managers with data-driven tools to order the right quantities to meet customers’ evolving demands.
– Offers a clear overview of labor requirements necessary for processing and preparing items in-store for a specified period.

- Developed AI algorithms to predict customer traffic patterns using historical data, weather, and seasonal trends

- Created machine learning models for optimal staff allocation based on predicted demand

- Implemented real-time scheduling adjustments and automated shift recommendations

- Built predictive analytics dashboard for store managers

- Conducted POC validation before full rollout across 89 stores

Results

  • Improved Website Traffic: Within six months, Onson's website experienced a 40% increase in organic traffic, resulting in higher visibility among potential clients.
  • Lead Generation Success: Our lead generation funnel yielded a 25% increase in qualified leads, providing Onson with a consistent stream of potential clients.
  • Enhanced Authority: Onson's active social media engagement and content marketing efforts led to its recognition as a trusted industry authority.
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