01-projects/phdata

kwik trip meeting prep

2026-07-10

Kwik Trip — intro meeting prep (Mon 7/13, Tue 7/14)

Company snapshot

Technology & data signals (public evidence)

What we could NOT read (the honest gap)

Five discovery questions (DSA discovery, not vendor pitch)

  1. Your 2024 Data + AI Summit talk showed a 12-person Data Services team streaming fuel-pump data and migrating reporting into Databricks — two years on, where is the platform straining: cost, governance, or self-service demand from the business?
  2. Public signals suggest both Snowflake and Databricks in the picture — is that a deliberate warehouse/lakehouse split or accumulated history? What decides which workload lands where, and what does the CDC/Airflow layer feeding both look like?
  3. With Eagle Eye now running personalization for 5.25M members, how does loyalty and transaction data flow back into your own platform — who owns the customer-360, and can your team query it freely?
  4. Vertical integration means you run manufacturing, logistics, and retail demand signals in one company — "sell it today, replace it tomorrow" replenishment across dairy/bakery/commissary/DC. How much of that forecasting is model-driven today, and where does the hourly food-sales forecast live?
  5. Open IT hiring skews infrastructure and security while AI arrives via vendors — what's the internal posture on GenAI/agents (pilots, governance, appetite), and who makes build-vs-buy calls for data and AI capabilities?

Logistics