Retail
experience
Plank teams have built AI systems for retail including store planning models, omnichannel POS, and predictive inventory forecasting. We’ve delivered loyalty engines, recommendation systems, and real-time analytics backed by scalable data infrastructure.
Store Planning and Location Intelligence
- Build geospatial analysis tools to evaluate market demand, competitive landscape, and foot traffic patterns.
- Integrate demographic, mobility, and sales data to model ROI for new store openings or remodels.
- Use AI models for site scoring, catchment analysis, and scenario forecasting.
POS, Ordering, and Transaction Systems
- Develop multi-channel POS systems supporting in-store, kiosk, mobile, and self-checkout experiences.
- Enable unified carts and checkout flows across online and physical channels.
- Integrate with inventory, loyalty, tax, and payment systems for seamless order lifecycle handling.
Supply Chain and Inventory Optimization
- Create systems to track inventory across warehouses, stores, and distribution centers in real time.
- Forecast demand and automate replenishment using predictive models and sales history.
- Optimize fulfillment routing, returns handling, and last-mile logistics.
Loyalty, Promotions, and Customer Programs
- Design loyalty engines with tiered rewards, gamified incentives, and CRM integrations.
- Build rule-based engines to trigger promotions across channels based on behaviors and purchase patterns.
- Personalize offers using real-time customer segmentation and transaction history.
Omnichannel E-commerce Experiences
- Launch web and mobile storefronts with headless commerce backends and real-time inventory.
- Enable BOPIS, curbside pickup, and delivery orchestration with dynamic slotting and routing.
- Support personalization, cross-sell, and abandoned cart recovery using AI-driven recommendations.
Data Infrastructure and Retail Analytics
- Architect scalable pipelines to unify POS, e-comm, footfall, and ops data for reporting and insights.
- Build real-time dashboards for store managers, ops teams, and exec leadership.
- Apply AI to detect anomalies, surface opportunities, and track KPI movement across channels.
Engineers we’ve worked with
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