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Bikky - CDP for Restaurants

AI AppsBusiness IntelligenceSubscription · Web

Bikky is a customer data platform designed for restaurants, providing insights into guest behavior across channels. It helps teams make informed decisions by building a comprehensive profile of guests and their interactions.

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Bikky - CDP for Restaurants screenshot
Bikky - CDP for Restaurants screenshot

Bikky is a specialized customer data platform (CDP) tailored for multi-unit restaurants. It aims to provide restaurants with the same level of data access as large businesses, enabling them to make informed decisions based on comprehensive guest profiles. By integrating with major restaurant platforms, Bikky facilitates seamless data collection from order, payment, loyalty, and reservation systems. This integration process typically takes 2 to 4 weeks, followed by a 4-week training period with personalized support from Bikky's team.

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Bikky's platform pulls historical data, usually covering at least two years, to help restaurants understand key performance metrics such as traffic, frequency, and retention. The platform builds guest records using identifiers like credit card tokens, email addresses, or phone numbers, and automatically deduplicates data across channels. While some third-party delivery platforms may limit data availability, Bikky still provides accurate reporting on revenue and menu items.

The platform is subscription-based, with a per-store, per-month pricing model. Bikky aims to work with existing tech stacks, offering solutions to access necessary data before contract signing. Data is reflected in dashboards within 2 to 24 hours, depending on the integration type. Bikky's focus on data security and privacy ensures that restaurant data is handled responsibly, making it a valuable tool for restaurant teams seeking to optimize marketing, menu, and operational decisions.

  • CategoryBusiness Intelligence
  • Pricing ModelSubscription
  • DeploymentCloud
  • PlatformsWeb

  • Seamless data integration

  • Historical data access

  • Guest profile building

  • Data deduplication

  • Real-time dashboard updates

  • Subscription pricing model

  • Personalized onboarding

  • Data security and privacy

  1. Configure: Set up integrations with existing systems

  2. Use: Access guest data and analytics

  3. Optimize: Utilize insights for marketing and operations

  4. Train: Complete onboarding with dedicated support

  • Guest profiling
  • Marketing optimization
  • Operational decisions
  • Menu analysis
  • Loyalty program enhancement

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