Business, Freight News, Logistics

Nectar Imports Selects Paragon Software Systems

[ January 20, 2016   //   ]

Nectar Imports has selection Paragon Software Systems’s routing and scheduling software to optimize its daily drinks distribution. The drinks supplier will use Paragon to manage its delivery operations and ensure its reputation for flexibility and promise of next working day delivery is maintained as the company continues to grow.

Nectar’s distribution operation runs on fixed routes, but the company has outgrown its previous manual approach to planning and scheduling due to the continuous growth of the business. The Paragon system will enable dynamic planning, helping Nectar to proactively manage its transport activities and increase the efficiency of its fleet.

“With seasonal variations and order volumes influenced by trade in hospitality businesses on a day to day basis, our approach to deliveries must be both flexible and accurate,” said Mike Cross, General Manager, Nectar Imports. “Delivery requirements, times, places, people, even high tide times in London for those customers on the water, are all taken into consideration to make sure our customers have the stock they need.”

Cross explains that Nectar looked at a number of different systems, but the Paragon routing and scheduling software and support team stood out as the right combination to help keep customers happy.

Since its creation over 30 years ago, Nectar has become the leading drinks distributor in the South of England, operating a fleet of around 20 vehicles out of its state-of-the art warehouse. The company delivers a range of drinks, from the very latest in craft beers and ciders to the trendiest gin in town, to restaurants, clubs and hotels on a daily basis.

Nectar expects to benefit from reduced planning time and improved reporting capabilities, as well as strategic what-if modeling based on real customer data – a huge benefit in this particular sector of the logistics industry, as the company will be able to plan ahead to accommodate seasonal demand fluctuations.

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