Digitalisation of the temp-work sector in Flanders: from paper planning to AI matching

Digitalisation of the temp-work sector in Flanders and AI matching are no longer hype. Companies in retail, hospitality, logistics and events expect scalable, error-free and fast scheduling. Students, flexi-jobbers and people earning extra income demand a frictionless mobile experience. This guide shows how modern tools reduce the mismatch and fill open shifts faster.

The Flemish labour market in 2025

The labour market remains tight. Since 2023, students may work 650 hours per year (Student@work). Flexi-job rules encourage both seniors and people earning extra income. Even so, planners still struggle with last-minute drop-outs, duplicate Excel versions and phone calls outside office hours.

Sectors such as hospitality, retail, e-commerce logistics and events experience peaks that make classic planning inefficient. Young people want autonomy, transparency and fast payment. Employers are looking for predictability and compliance.

Bottlenecks in traditional planning

• Manual Excel updates → version conflicts & errors
• Finding stand-ins by phone → wasted time
• No real-time availability → double bookings
• Limited data on no-shows & time-to-fill
• Fragmentation between planning, contracts & payment

Why digitalisation is accelerating

Higher labour costs and margin pressure force companies to become more efficient. Digital platforms reduce administration, speed up matching and improve the retention of reliable shifters. API connections with payroll and time tracking avoid double data entry.

What does AI matching deliver?

AI combines skills, location, reliability, availability & pay parameters to prioritise the best candidates. The result: a shorter time-to-fill and higher shift occupancy.

• Speed: shifts filled faster → less lost revenue
• Quality: higher customer satisfaction thanks to a better fit
• Transparency: shifters see relevant assignments first
• Optimisation: the algorithm learns from cancellations & ratings

AnyShift as a bridge between supply and demand

We combine real-time availability with score-driven trust (punctuality, cancellation ratio, reviews). This creates a dynamic marketplace:

• Shifters choose assignments in their own region
• Mobile availability management
• Fast (partial) payment
• Badges & scores encourage reliability
• Employers get a quality shortlist instead of bulk

Employers manage everything via the companies page with insight into KPIs.

Implementation: 6 practical steps

1. Audit the current process (lead time, no-show %)
2. Clean up data (contact, skills, locations)
3. Choose a pilot group for validation
4. Connections to payroll & time tracking
5. Adoption through short video onboarding
6. Iterate based on dashboards

Key KPIs

• Time-to-fill (minutes from publication)
• No-show percentage
• Shift occupancy rate
• Retention of top 20% shifters
• Administrative time per 10 shifts

Outlook 2025-2026

We expect more integration with payroll automation, demand forecasting based on sales data and stricter compliance checks (students, flexi quotas). Early adoption of AI matching delivers a lasting competitive advantage.

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