by Sarah Duffy

USE CASE
Replenishment Intelligence & Out-of-Stock Reduction

Out-of-stock rates in grocery and general merchandise retail typically run between 7% and 10%. That means at any given moment, roughly one in ten items a customer is looking for isn't on the shelf. The revenue impact is real, but the bigger cost is cumulative — customers who consistently find gaps in availability start building habits elsewhere.

Why Retail Replenishment Requires Real-Time Synthesis

Modern retail supply chains generate an extraordinary volume of relevant data POS velocity by store by SKU, DC inventory positions, on-order quantities with expected delivery windows, supplier fill rate histories, and promotional calendars. The individual data points are there. The opportunity is in synthesizing all of them in real time, against a specific availability question, and getting that answer to the right person fast enough to make a difference.

Your planners have access to more demand signals than ever. The next step is making sure they can bring all of those signals together fast enough to stay ahead of the shelf.

Genie for Replenishment Intelligence

Databricks Genie enables supply chain leaders to interrogate their full inventory and demand data environment conversationally. A VP of Supply Chain can ask: 'Which high-velocity SKUs in our grocery division are projected to stock out in the next 72 hours, and what's the current on-order position for each?' That question gets answered in seconds, not hours.

The Shelf Availability Flywheel

Shelf availability compounds. The store that's reliably in-stock earns customer trust, which drives traffic, which makes demand patterns more predictable, which makes replenishment more precise. The data that made that possible is already in your systems. Genie makes sure the people who need it can get to it in the moment it matters.

DATABRICKS GENIE · KEY DIFFERENTIATORS
Built for your data, governed by your rules, answerable to any business leader.

• Store-level granularity: Genie can answer at the store-SKU level — the right granularity for replenishment decisions, not just category averages.
• Demand signal integration: Promotional data, event calendars, and weather signals are part of the same analytical environment as inventory positions.
• Supplier performance context: Genie incorporates supplier fill rate history into replenishment questions — so you're not planning against a commitment that history says won't be met.
• Cross-DC optimization: Questions about inventory rebalancing across distribution centers are answerable in the same conversational interface.

See What Genie Can Do for Your Team

Databricks Genie is available today. See how your industry peers are using it to reimagine how they access and act on their data.