Case study · Grocery retail
Conad Colleferro: shifts and attendance for two supermarkets
Staff management system for the Conad stores in Via dei Pioppi and Via Fontana dell'Oste in Colleferro: shifts that learn from history, automatic replacements and clock-ins.
For the Conad stores in Via dei Pioppi and Via Fontana dell'Oste in Colleferro (RM), Dabryx developed a bespoke staff management system: weekly shifts for the two stores, a learning engine that derives the implicit scheduling rules from historical data, automatic search for replacements in case of sickness, QR code clock-ins, absences and payslips.
- Client
- Conad – Colleferro (Rome)
- Stores
- Via dei Pioppi, Via Fontana dell'Oste
- Sector
- Grocery retail
- Project type
- Bespoke staff management system
- Status
- In production
The need
Every week the manager drew up the shifts for the two supermarkets while keeping hundreds of unwritten rules in mind: whoever works Saturday afternoon also works Sunday, whoever worked this Sunday is off next Sunday, who to call when someone is sick.
They needed shifts that were quicker to prepare, reliable attendance records and a way not to lose that experience.
The solution
We developed a web and mobile management system designed for supermarkets:
- Weekly shifts for the two stores, with configurable coverage rules and publication to employees.
- Learning engine that analyses shift history, identifies implicit rules and suggests them to the manager, who confirms or rejects them.
- Automatic search for replacements when an employee calls in sick, with a ranking of the most suitable colleagues.
- QR code clock-ins, calculation of hours worked and overtime, and month-end closing.
- Holidays, leave and sick days with approvals and conflict checks on shift swaps.
- Payslips: generating and sending payslips to employees.
- Push notifications on smartphones for shifts, requests and approvals.
Technologies
The result
The management system is in production at both supermarkets and evolves through frequent releases based on requests from the people who use it every day. Scheduling rules no longer live only in one person's head: the system learns them and makes them shared.