Argos, the UK’s largest high street retailer online, has selected Paragon’s advanced home delivery software solution as part of a large-scale project to revolutionise its home delivery operation.
Argos serves around 120 million customers a year through its network of 734 stores, and handled more than 738 million website and app visits in the last financial year. As part of a company-wide project to offer “More Choice Available Faster (MCAF)” the high street giant wanted a vehicle routing and scheduling solution that linked seamlessly with its existing multi-channel order processing systems to offer customers cost effective home delivery or customer collection time slots at the point of order.
After reviewing what the market had to offer, Argos selected Paragon HDS (Home Delivery System). “We looked at all the available home delivery solutions, and found that Paragon HDS was the most advanced and robust solution on the market,” said Brian McCarthy, Home Delivery Director, Argos, part of the Home Retail Group.
The Paragon solution continually re-optimises the transport schedules as new orders are added. Taking into account delivery areas, available resources and existing deliveries already confirmed, the system analyses and evaluates possible delivery times for new orders within the customer’s requested time frame. By planning customer collection and home delivery service in the same system, Argos will maximise the efficiency of their operation and offer a consistent, reliable service to their customers.
“Paragon HDS bridges the gap between customer service and transport efficiency that is as pronounced as ever in today’s growing home delivery sector,” commented William Salter, Managing Director of Paragon Software Systems. “By enabling multi-channel ordering processes to be linked directly with real-time routing and scheduling optimisation, Paragon HDS delivers significant benefits in terms of streamlined home delivery or field service operations, and helps to significantly improve customer service while controlling costs, increasing fleet productivity and reducing carbon emissions.”