Restaurant-tech

95% of restaurants are now using AI for inventory management, menu optimization, reservations, and more.

Restaurant-tech

experience

Plank teams have built restaurant tech for ordering, kitchen ops, delivery routing, and loyalty programs. We’ve supported multi-location management, real-time analytics, and scalable infrastructure for high-volume service environments.

Resturant-tech
Ordering Systems and Menu Management
  • Build omni-channel ordering systems for dine-in, takeaway, delivery, and kiosks.
  • Enable dynamic menu updates, pricing rules, and localized customizations across franchise networks.
  • Support modifiers, combos, allergens, and smart upsell logic with structured APIs and CMS tooling.
Kitchen Operations and Workflow Tools
  • Integrate POS with kitchen display systems (KDS) to optimize prep timing, station routing, and course sequencing.
  • Track order status in real-time with automated ticketing and alerts for delays or substitutions.
  • Enable smart batching and resource allocation for high-volume kitchens.
Loyalty, CRM, and Customer Engagement
  • Create loyalty programs with visit tracking, spend-based rewards, and tiered benefits.
  • Build customer profiles using transaction data, preferences, and behavioral analytics.
  • Power marketing automation and feedback loops via email, SMS, and push campaigns.
Delivery and Order Routing Infrastructure
  • Integrate with first-party and third-party delivery providers for dispatch, tracking, and order reconciliation.
  • Optimize delivery windows, batching, and handoff protocols with real-time geolocation and SLA monitoring.
  • Enable fallback routing and issue detection during peak service times.
Analytics and Decision Support
  • Centralize operational data across POS, supply chain, labor, and marketing into real-time dashboards.
  • Use ML models to forecast demand, reduce food waste, and optimize staffing.
  • Enable benchmarking and A/B testing for pricing, promotions, and menu design.
Multi-location, Franchise, and Enterprise Ops
  • Manage users, permissions, and reporting across brands, regions, and store formats.
  • Sync configs, integrations, and inventory systems with centralized control and local overrides.
  • Ensure uptime, data consistency, and compliance across a distributed restaurant tech stack.

Customer Showcase

Retail Development Partners

Retail
Retail
Restaurant-tech
Restaurant-tech

The RDP AI platform from Retail Development Partners helps restaurant and retail brands like McDonald’s, Sweetgreen, and Chipotle optimize expansion strategies using custom models to identify ideal new locations.

AI-powered site selection engine:

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Built a multi-dimensional regression tree model trained on US census, cellular, and ordering data to score millions of intersections and recommend optimal store locations—used by major retail and restaurant chains nationwide.

High-performance geospatial visualization:

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Delivered an SSE-based web map UI that streams server-rendered tiles and uses an AI model to reduce rendering load by intelligently narrowing the set of relevant intersections based on user input.

Dynamic, scalable modeling infrastructure:

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Engineered a concurrent data processing pipeline capable of re-running nationwide analyses in real time as users tweak parameters, handling massive datasets across geography, demographics, and sales history.

Auto-optimized multi-model framework:

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Built a model orchestration system using LLM-judging to auto-select the best fit across regression, random forest, and graph-based models—also supporting ensembling for more accurate recommendations.

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Engineers we’ve worked with

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