Orquest

Madrid, 
Spain
https://orquest.com/en/
  • Booth: 256

Orquest optimizes retail scheduling with AI. Its Smart Planning solution aligns employee availability with store demand while ensuring regulatory compliance. Using advanced forecasting and scheduling, the AI-powered software generates optimal work schedules considering store needs and employee preferences. Orquest handles complex scheduling for over 250,000 employees at major retailers like Dior and H&M across 80 countries. Recognized with achievements such as the Retail Technology Innovation Award 2024, Orquest is transforming retail workforce management.

 Press Releases

  • Orquest won the 2024 Retail Technology Show Innovation Award for its AI-powered in-store workforce scheduling solution. This platform optimizes employee productivity and enhances customer experiences by adapting to staffing needs in real time. Judges highlighted Orquest's capacity to address rising labor costs while improving team collaboration, customer service, and operational efficiency. This award recognizes Orquest’s significant impact on retail management and customer satisfaction.
  • Orquest received recognition at the Santander X Global Awards, held at Microsoft’s Silicon Valley campus, where AI-driven projects competed to address global challenges. Competing in the scaleup category, Orquest was awarded for its AI-based solution that enhances business profitability through automated employee task planning. This achievement highlights Spain's strong presence, with three of the six total awards going to Spanish companies.

 Products

  • Smart Planning

    Orquest simplifies and automates the scheduling process, assigning each employee to the right shifts and tasks in seconds, while strictly adhering to labor regulations, through a 3-step scheduling process.

    1. Orquest uses machine learning to analyze key data, such as customer footfall or transactions, to accurately predict future demand. 
    2. It then calculates the number of staff required to meet demand, taking into account available hours, productivity targets, and other factors. 
    3. Finally, Orquest's engine generates schedules and assigns shifts and tasks to each employee, taking into account their availability, preferences, and the specific needs of each area within the store or restaurant.
    ...

  • Orquest App

    With the app, employees receive their shifts and tasks as soon as managers finalize them, ensuring a better work-life balance. It also simplifies request and preference management, displays open shifts with the option to accept them, and tracks clock-ins, facilitating smooth communication between employees and managers.

    4.6 stars from 3,670 reviews on Apple Store and Play Store

    ...

  • Staffing
    Anticipate your staffing needs with a hiring plan that adjusts to each store's reality, simulating different scenarios, avoiding under- or over-coverage, and making onboarding processes easier. Allows managers to visualize staffing needs months in advance and simulate different staffing scenarios to ensure optimal coverage....

  • Time & Attendance
    Facilitates monitoring of employee clock-ins and ensures compliance with schedules for easy data export for payroll management. It is also compatible with other systems such as ID cards, fingerprint or facial recognition. Compare assigned schedules with recorded clock-ins. Distribute the hours worked in ordinary or overtime if required, and export your consolidated clock-ins so that the payroll system calculates the right amount....

  • KPIs Tracking
    Orquest enhances retail performance with an AI-driven platform that optimizes staff scheduling, tracks key performance indicators, and improves customer satisfaction. By accurately predicting demand, Orquest helps retailers align staffing needs, boosting productivity, sales, and customer service while minimizing wait times. Its tools streamline decision-making, enhance team efficiency, and reduce employee turnover, benefiting managers, staff, and clients alike....

Categories

Big Data
  • Data Processing
  • Forecasting
  • In-Store Analytics
    • Human Resources
  • Time Clocks/Time & Attendance Systems
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