Supply Chain Coordinator - Coventry, UK

The role

You will coordinate the day-to-day UK supply chain for camera hardware and components. This includes managing inbound shipments, stock control, warehousing, outbound deliveries, and the returns and repair loop.

What you will do

• Own the day-to-day UK supply chain for camera hardware and components
• Track stock levels against the deployment schedule
• Book and track inbound shipments from the global supply chain
• Support preparation of import and customs paperwork and liaise with suppliers
• Organise outbound deliveries to field teams and retailer sites
• Keep inventory records accurate through cycle counts, reconciliations, and system updates
• Coordinate the daily work of warehouse and repair technicians
• Report on supply chain KPIs
• Suggest and help implement improvements to warehouse processes
• Manage day-to-day warehouse activity including receiving, storage, picking, packing, and dispatch

Required qualifications

• 2+ years of experience in supply chain, logistics, warehouse, or inventory coordination
• Experience with stock control and inventory management
• Experience booking and tracking shipments and working with couriers or hauliers
• Confident with spreadsheets and inventory systems
• Technical aptitude and an interest in troubleshooting hardware
• Strong organisational and time management skills
• Clear written and verbal communication
• Comfortable with hands-on warehouse work, including moving equipment safely
• Full valid UK driving licence

Nice to have

• Experience with import and export paperwork or customs processes
• Experience with returns management, reverse logistics, or hardware repair
• Background in retail technology, electronics, or field-service businesses

Benefits

• Competitive Salary & Attractive Stock
• Generous Paid Time Off
• Pension
• Sick Leave
• Parental Leave
• Learning and Development Budget

About the company

Focal Systems is the industry leader in retail AI solutions. They automate and optimize brick and mortar retail using deep learning computer vision.