Hybrid Supply Chain Assistant – AI‑Driven Ops

Trinny London Limited.; Greater London; Hybrid; GBP 25,000 - 35,000; Full time

Benefits offered by this job

Hybrid working

Product allowance

Pension scheme

Wellbeing days

Cycle to work

Job summary

Trinny London Limited. is seeking a Supply Chain Assistant to join our London-based Operations team. You will support daily supply chain activities, inventory reconciliation, and ERP data tasks to help our growing business operate efficiently.

You will liaise with suppliers and internal teams to maintain accurate OTIF reporting, manage stock levels across distribution centers, and assist with data capture and AI-driven process improvements in a fast-paced, hybrid-work environment.

Qualifications

• Experience in supply chain or procurement preferred.
• Experience with ERP systems required.
• Strong Excel and data handling skills required.

Responsibilities

• Support day-to-day supply chain functions and maintain process documentation.
• Liaise with suppliers and chase overdue items to ensure on-time deliveries.
• Create OTIF reports to track supplier performance.
• Manage stock levels and flag risks across distribution centers.
• Investigate stock discrepancies and assist with data capture and migrations.
• Assist with data capture into CSV files and quality checks.
• Utilise AI tools to streamline workflows and draft communications.

Skills

Excel skills

Data literacy

Numerical reasoning

Interpersonal skills

Time management

Attention to detail

Problem solving

Customer focus

Adaptability

Self-motivation

Tools

ERP systems

AI tools

MS Office

Job description

Trinny London Limited. is seeking a Supply Chain Assistant to join our London-based Operations team. You will support daily supply chain activities, inventory reconciliation, and ERP data tasks to help our growing business operate efficiently.

You will liaise with suppliers and internal teams to maintain accurate OTIF reporting, manage stock levels across distribution centers, and assist with data capture and AI-driven process improvements in a fast-paced, hybrid-work environment.