Cut No-Shows 75%.See how InPost hit 98% fill rate with AcceptRead case study →

AcceptMatch

The Right Worker. Every Time.

AI-powered matching based on skills, reliability, location, and motivation. Data-driven decisions that actually work.

The agency allocation problem.

Random placement. Predictable results.

They just sent whoever was available.Not whoever was right.

Your agency's allocation system: who's free? That's it. No thought about skills, experience, or whether they've ever stepped foot in a warehouse.

Needed a forklift driver.Got someone who'd 'seen one on YouTube'.

Wrong skills for the job. Training takes time. Mistakes cost money. But hey, at least a body showed up.

Worker lives 40 miles away.Guess who's calling in sick?

Distance matters. A 5am start when you live an hour away? No-show waiting to happen. But the agency doesn't think about that.

Same problems. Different face.Every single week.

Last week's no-show got sent to your competitor. This week's liability? Heading your way. Zero learning from past performance.

AcceptMatch

AI that actually thinks.

Not random. Not whoever's free. Intelligent placement based on what actually predicts success.

Skills certification

Skills & Certifications

Forklift license? Food hygiene? First aid? We match the skills you need to the people who have them. No more hoping they'll figure it out.

Reliability

Reliability Score

Our AI tracks attendance, punctuality, and performance across every shift. High scorers get priority. Consistent no-shows? They're not coming to you.

Location

Location Intelligence

Workers closer to your site = higher show rates. We factor in commute time, transport links, and historical attendance patterns by area.

Experience

Experience Match

Someone who's worked your site before? Gold dust. We prioritise proven performers who already know your environment.

Preferences

Worker Preferences

Workers who want to be there perform better. We match based on preferred industries, shift patterns, and work types. Motivated people, not warm bodies.

AI learning

Continuous Learning

Every shift teaches us something. Worker performed great? They're flagged for similar roles. Struggled? We find them a better fit. The system gets smarter.

How AcceptMatch Works

STEP 1

Shift Posted

Your requirements go into the system

STEP 2

AI Recommends

Scores and ranks available workers

STEP 3

Human Approves

Our team makes the final call

STEP 4

System Learns

Outcomes improve future matching

AI recommends. Humans decide.

AcceptMatch suggests the best candidates. But a real person always makes the final call. Technology helps us work smarter — it doesn't replace our judgement.

It's a people thing. Always has been. Always will be.

Traditional allocation vs. AcceptMatch

Gut feel gets you bodies. Data gets you the right people.

Factor
Traditional
AcceptMatch
Skills matching
Basic or none
Precise skill-to-job alignment
Location consideration
Rarely
Prioritised automatically
Past performance
Often ignored
Core to every decision
Worker motivation
Not considered
Preference-based matching
Learning from outcomes
Manual (if at all)
Automatic, continuous
No-show prediction
After it happens
Before they're booked
Real Impact

What happens when you match properly.

Workers matched to jobs they're suited for don't just show up — they perform. They stay. They come back. Because they're not being set up to fail.

  • Workers with relevant skills hit the ground running
  • Shorter commutes = higher attendance rates
  • Motivated workers = better output
  • Good matches become repeat assignments
  • Data improves every decision, automatically
AcceptMatch Preview
Shift requirement:
Warehouse Pick & Pack — 6am start, 8hrs
ForkliftHeavy LiftingEarly Start
TOP MATCHES
Sarah K.
Forklift ✓2.3mi98% attend
97%
match
James M.
Forklift ✓4.1mi96% attend
94%
match
Dave R.
Forklift ✓6.8mi92% attend
89%
match

It learns. It improves. Continuously.

Every shift is a data point. Every outcome teaches the system what works. The more we place, the smarter matching gets.

Great Match

Worker excelled? They're flagged for similar roles. You'll see them again.

Struggled

Wrong fit? We learn what went wrong and find them better-suited work.

No-Show

Reliability score drops. They won't be prioritised for your shifts again.

AI-Powered Placement

Stop gambling. Start matching.

The right worker. For the right shift. Every time.Data-driven decisions, not gut feel.