Pizza Hut Invests in Delivery Network Algorithm and Hires Thousands of New Employees

In a bid to revamp its delivery services and better compete with rival Domino's, Pizza Hut is investing heavily in technology and hiring thousands of new employees. The company has announced plans to hire 75 percent of the new hires as delivery drivers, while the remaining 25 percent will be employed in-cafe jobs.

This move comes on the heels of a difficult year for Pizza Hut, with same-store sales down 7 percent in the last quarter. However, the company is optimistic that its investment in technology and staff will pay off in the long run. As Nicolas Burquier, chief operating officer at Pizza Hut, said, 'This is about accuracy and consistency, giving our customers a trusted experience.'

One of the key technologies being introduced by Pizza Hut is its Delivery Network Algorithm, which uses data such as weather, local construction, and traffic jams to predict delivery times more accurately. Additionally, the company is implementing a new technology system designed to improve the reliability and accuracy of its deliveries.

The hiring spree is part of a broader effort by Pizza Hut to upgrade its equipment, improve restaurant technology, and boost advertising spending through 2018. The company has also announced plans to invest $130 million in the struggling pizza chain, with the goal of improving customer satisfaction and increasing sales.

For Pizza Hut, delivery has become a major priority in recent months. Analysts have blamed menu fatigue for soft sales in the past, but the company is hopeful that its new technology and staff will help it to regain its footing. With rival Domino's leading the way in the pizza space, Pizza Hut knows that it needs to stay ahead of the curve if it wants to remain competitive.

In conclusion, Pizza Hut's investment in delivery technology and staff is a significant step towards revamping its services and staying competitive in the market. As the company continues to innovate and adapt to changing consumer preferences, it remains to be seen whether this strategy will pay off in the long run.

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