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VROMO > Case Studies > Papa Gino's Pizzeria
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Papa Gino's Pizzeria

Technology Category
  • Platform as a Service (PaaS) - Connectivity Platforms
Applicable Industries
  • Food & Beverage
Applicable Functions
  • Logistics & Transportation
  • Sales & Marketing
Use Cases
  • Fleet Management
  • Supply Chain Visibility
Services
  • System Integration
The Challenge
Papa Gino's Pizzeria was facing several challenges with its delivery system. The customer experience was compromised due to lack of visibility and consistency around delivery times. The company was struggling with forecasting driver requirements accurately and managing driver retention. They were eager to prioritize self-delivery to maintain a relationship with their customers. However, manual intervention when dispatching to various delivery partners was slow and laborious. They were unable to achieve the desired unit economies for profitable delivery. They had limited metrics to optimize fleet performance. A significant increase in delivery volume was having a detrimental effect on delivery success rates. Too many real-time decisions had to be made by the in-house operations team.
About The Customer
Papa Gino's Pizzeria is a well-established restaurant chain in New England, United States. The company was founded in 1961 and has a rich heritage of serving high-quality, handmade pizzas with fresh ingredients and an 80-year old Italian family recipe. From a single restaurant in East Boston, Papa Gino's has expanded over the years and now has nearly 100 restaurants in Massachusetts, Rhode Island, New Hampshire, and Connecticut. The company has more than doubled in size in the past year, and restaurant delivery has become an essential part of its off-premise food delivery strategy.
The Solution
Papa Gino's Pizzeria implemented VROMO, a solution that enables restaurant brands to work with multiple order sources while operating an optimized blend of self-delivery and 3rd party delivery providers to maximize customer reach and profitability. The solution provided automated dispatch with rules in place to ensure the in-house delivery team receives orders ahead of 3rd party delivery service. It also offered a dispatch solution capable of stacking multiple orders into a single delivery run. The solution provided data to analyze performance for both self and 3rd party delivery from all order sources, across all restaurant sites. It also offered branded order tracking and B2C messaging to improve customer experience.
Operational Impact
  • Transparency and visibility of delivery times were achieved.
  • The ability to measure driver and restaurant efficiency was provided.
  • The ability to prioritize self-delivery based on distance from the restaurant was enabled.
Quantitative Benefit
  • Predictability on 3rd party costs - weekly 22- 30% of all orders are dispatched to 3rd party providers.

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