One Agent, A Thousand Stores
For franchise operators, retail chains, regional business owners, and anyone managing a large team that all runs the same playbook — but on different data.
You've figured out what good looks like.
After years of running this business, you know which metrics matter. You know that "revenue per square foot" is more predictive than total sales. You know to exclude the first 90 days of a new store's performance from benchmarks. You know what questions to ask every Monday morning: how is conversion trending? Where is shrinkage unusually high? Which stores are on track for the month and which need a call?
The problem isn't that you don't know what to analyze. The problem is that there are 1,000 stores, and you can only be in one place at a time.
Your regional managers know the playbook too. But they're spending their Monday mornings pulling numbers from a system, building pivot tables, and trying to remember which formula you showed them at the last quarterly offsite. Half the time they're doing the analysis wrong. Half the time they just don't do it.
What if you could give every manager their own analyst — one who already knows your playbook?
With Luxiva's personal data slot, you build the intelligence once. Your managers bring their own data.
Here's what that looks like in practice.
You — the head of analytics, or operations, or whoever runs the numbers at headquarters — build an agent. You teach it your business logic: how to read a weekly store performance export, which metrics to flag, what "underperforming" means in your context, how to roll up by region, which stores to exclude from certain calculations. You wire in your KPI definitions. You write the skill once.
Then you turn on the personal data slot.
Now, every store manager who opens the agent sees the same interface — but the agent is waiting for their data. They upload their own store's weekly export. The agent reads it, confirms the columns, and immediately starts answering their questions.
"How am I tracking against target this week?" "Which product categories are dragging down my conversion?" "Am I above or below my regional average on ATV?"
Same questions. Same logic. Different store, different manager, different data. All private.
The key insight: separate the intelligence from the data
Most analytics tools assume the data lives in a central system. That's fine once you have an enterprise data platform. But before that — and for a lot of businesses, that "before" lasts years — your data is in files. Each store sends a weekly export. Each region has their own spreadsheet. Each manager pulls from their local POS system.
The intelligence, though, can be centralized right now. You define the KPIs. You write the business logic. You decide what questions matter. You do that once, and every manager in your network benefits from it instantly.
This is what Luxiva's personal data slot makes possible: a single agent that carries your institutional knowledge, scaled across every person who needs it, each with their own private data.
How it works
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You build the agent. In the Luxiva builder, you define the skills, the KPI logic, the business definitions. You turn on the personal data slot and set a schema hint — the expected column names your managers' weekly exports will have ("Store ID, Week Ending, Total Revenue, Transactions, Returns...").
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Managers open the agent and upload their file. The first time they open it, the chat prompts them: "Upload your weekly store performance export to get started." They drag in a file — the same file they already pull from their POS or operations system every week.
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The agent reads their data privately. Only they can see their upload. Their store's numbers never mix with another manager's. You at headquarters can see how many managers have uploaded (so you know adoption), but not what their files contain.
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Next week, they replace the file. Upload this week's export, and the agent analyzes fresh data. The business logic is the same. The data is new.
Who this is for
- Franchise operations teams who want every franchisee running the same analytical framework, without a centralized data warehouse
- Retail chains where store managers pull weekly sales exports but don't have access to chain-wide BI tools
- Agency owners who manage multiple clients using the same analysis methodology but obviously can't share client data across accounts
- Regional managers responsible for a territory where each location tracks its own numbers
- Consulting firms that want to give every client the same analytical capability on their own private data
Before the enterprise platform
Every big company eventually builds a centralized data infrastructure. But in the years before that — and especially for the businesses that will never reach that scale — the intelligence and the data stay separate. The intelligence lives in spreadsheets, in the heads of senior people, in the playbook that gets passed down through training.
Luxiva lets you capture that intelligence in an agent, and give every person in your network access to it — on their own terms, with their own data.
You built the playbook. Now everyone can run it.
Luxiva is a platform for building AI agents that understand your business — your metrics, your logic, your data. [Get started →]