Wavecrest Retail Group — Wavecrest Retail Group operates over 180 stores alongside a fast-growing e-commerce platform, processing approximately 35,000 orders per day across multiple warehouses and third-party logistics partners.
Fewer fulfilment errors
Faster order processing
Reduced stock write-offs
Autonomous order monitoring
The Chalange
Wavecrest’s inventory data was fragmented across its ERP, e-commerce platform, in-store POS systems and 3PL warehouse management system, with stock levels frequently out of sync. This led to overselling, fulfilment delays and a growing volume of customer complaints during peak periods. Staff spent hours each day manually reconciling stock counts and re-routing orders that failed automated fulfilment rules.
What did
Automate Stacks do
Automate Stacks built a real-time inventory and order orchestration layer using RPA, system integration and an agentic decision engine:
Real-Time Sync Bots: RPA bots were deployed to continuously reconcile stock levels across the ERP, e-commerce platform, POS and 3PL WMS, resolving discrepancies in near real time rather than via nightly batch jobs.
Intelligent Order Routing: An agentic AI layer evaluated each incoming order against stock availability, warehouse proximity, shipping cost and delivery SLAs, automatically selecting the optimal fulfilment path.
Exception Management: For orders that couldn’t be auto-fulfilled out-of-stock items, address issues, payment holds, the agent proposed resolutions (substitutions, split shipments, backorder notices) and only escalated genuinely ambiguous cases to customer service.
The Results
- Fulfilment errors reduced by 92%, dramatically cutting return and re-ship costs
- Order processing time cut by 60%, improving same-day dispatch rates during peak season
- £2.4M reduction in annual stock write-offs from improved inventory accuracy
- 24/7 autonomous order monitoring eliminated overnight fulfilment backlogs
- Customer service tickets related to order issues dropped by 58%
