White Birch VenturesSelected examples of operator-facing software and operational tooling. Details are anonymized by default. If you want references, ask.
AI is used where it meaningfully improves throughput or accuracy-often with human review as the default. Prior implementations have included OpenAI API–based workflows; current work applies AI more broadly across extraction, normalization, classification, and decision support.
Built a structured quoting and margin workflow that stays consistent under real operating conditions. Includes AI-assisted extraction and normalization (e.g., line items, units, vendor naming) with human review baked in.
Created a dashboard that brings together quoted revenue, labor, food costs, rentals, delivery expenses, and final invoices to show profitability at the event and customer level.
Standardized core entities and relationships to reduce duplication and inconsistencies across locations. Added AI-powered deduplication suggestions to keep the model clean as new data is introduced.
Built a centralized recipe-costing tool that calculates portion costs from ingredient prices, yields, waste assumptions, and packaging while preserving a clear history of cost changes.
Implemented a production structure connecting inputs, batches, and finished goods, with durable COGS logic. Included AI-assisted variance detection for anomalous costs and yield patterns.
Developed a streamlined intake and sales workflow that captures event requirements, qualifies leads, assigns follow-ups, and converts approved opportunities into structured proposals.
Designed and piloted a computer vision system to measure movement, dwell time, and congestion in a high-activity operating environment. Focused on deployable hardware, privacy-aware processing, and actionable metrics.
Built a daily production-planning system that converts upcoming orders and expected demand into consolidated prep quantities, station assignments, and completion checklists.
Built a lightweight forecasting system combining historical data with AI-assisted scenario modeling to support planning decisions under uncertainty.
Created a purchasing tool that standardizes vendor catalogs, tracks ingredient price changes, flags unusual increases, and supports side-by-side comparisons before orders are placed.
Prototyped a vision-based system to track inventory movement between zones, enabling passive visibility into usage patterns without manual scanning.
Built an executive scorecard that standardizes sales, labor, food cost, ticket time, waste, and customer-service metrics across restaurant locations.
Built a focused internal system for approvals, overrides, and exception handling, designed to add control without slowing operations.
Developed a mobile-friendly system for recording temperature checks, cleaning tasks, corrective actions, and manager verification across shifts and locations.
Built a configurable ordering experience for scheduled pickup, delivery, and catering orders, with capacity rules, cutoff times, payment collection, and production-ready order views.
I build operational systems that need to be correct, durable, and usable by teams. If an off-the-shelf product solves it cleanly, I’ll tell you. If it doesn’t, I’ll propose a focused build that can expand into a broader platform over time.
If you have an operational workflow that’s slow, error-prone, or hard to scale-and you suspect the right software would change the trajectory-reach out.