Scheduled AI Analysis: How WakeUps Let Your AI Follow Up Automatically

There's a pattern most e-commerce operators know well. You make a change — a new returns policy, a refreshed email subject, a tweak to your ad bids — and you intend to check the numbers in two weeks. Then two weeks pass, something else is on fire, and you never get back to it. Three months later you genuinely can't remember whether it worked.

This is the gap WakeUps are built to close.

What a WakeUp is

A WakeUp is a scheduled analysis reminder with memory. You tell your AI assistant to check on something at a future date, and it does three things:

1. Saves a benchmark snapshot — the current value of whatever metrics matter for the check
2. Schedules the analysis — stores the context so it knows exactly what to look for when the date arrives
3. Runs the comparison automatically — on the trigger date, it fetches the current data, compares it against the saved baseline, and shows you what changed

The result: you ask the question once, forget about it, and get the answer delivered without ever having to remember to go looking.

The problem it solves

Most data tools give you reactive access — you open a dashboard when you think of a question. That's fine for questions you remember to ask. The problem is the questions you intend to ask but never get back to.

A few examples of how that plays out in practice:

• You tighten your returns policy in early June. You plan to check if refund rates have dropped in a fortnight. You don't.
• You A/B test a new welcome email subject line. You mean to review the open rate uplift after 500 sends. You don't.
• You cut your Google Ads bids on low-ROAS keywords. You intend to check whether blended ROAS improved in three weeks. You don't.
• You push a site-speed fix to your product pages. You want to see whether CVR improved after the next full week of data. You don't.

None of these are forgotten because they're not important. They're forgotten because the act of remembering to check is work, and it competes with everything else happening in the business.

How WakeUps work in practice

Say your refund rate is running at 4.2% and you've just changed your returns policy. You want to know in two weeks whether it's improved. You tell your AI:

"Remind me to check if refund rates have improved in two weeks. Save today's numbers."

Your AI creates a WakeUp. It records the current refund rate (4.2%) and refund revenue (£1,840 for the last 30 days) as the baseline, writes a short note about what to analyse and why, and sets a trigger date fourteen days out.

On 17 June, the WakeUp fires. Your AI calls up the saved context and benchmarks, fetches the current refund data, and presents the comparison:

| Metric | Then | Now | Change | |---|---|---|---| | Refund rate | 4.2% | 2.8% | ↓ 33% | | Refund revenue (30d) | £1,840 | £1,190 | ↓ 35% |

You didn't have to remember to check. You didn't have to look up the original number. The AI did both.

What you can schedule a WakeUp for

WakeUps work for any metric your AI can measure today. Some of the most useful patterns:

After a policy or process change

• Refund rate after a new returns policy
• Support ticket volume after a FAQ update
• Cancellation rate after a subscription pricing change

After a marketing experiment

• Email open rate after a subject line test
• Click-to-open rate after redesigning a flow
• ROAS after adjusting bid strategy
• Conversion rate after a landing page rewrite

Before a seasonal event

• Stock levels for top-selling products 10 days before Father's Day
• Inventory cover for gift bundles two weeks before Christmas
• Fulfilment capacity ahead of a planned promotion

For monitoring a trend you spotted

• Bounce rate on a specific page that looked high last month
• A product with a rising return rate you want to watch
• A cohort whose repeat-purchase rate seemed to be declining

If you can ask your AI "what's X right now?", you can schedule a WakeUp to check whether X has moved.

The benchmark matters as much as the trigger

The reason WakeUps are useful rather than just calendar reminders is the saved benchmark. When you ask your AI to check something in the future, the benchmark it captures today becomes the "before" in a before/after comparison.

Without a saved baseline, a future check is just another query — you'd need to remember the original number yourself. With a saved baseline, the WakeUp delivers a comparison rather than just a reading. The difference between "refund rate is 2.8%" and "refund rate dropped from 4.2% to 2.8% since you changed the policy" is the benchmark.

Ask AI saves whatever metrics make sense for the context. For a refund-rate check, that's the rate and the revenue value. For an ad ROAS check, it might be ROAS, spend, and revenue by channel. For a stock level check, it might be units on hand and days of cover for specific SKUs.

How to create a WakeUp

WakeUps are created through your AI assistant. In Claude (or any AI tool connected to Ask AI), just describe what you want to check and when:

"Check if our email welcome flow open rate has improved in 3 weeks"

"Remind me to look at refund rates in 14 days — save today's 4.2% as the baseline"

"In 10 days, check whether the CVR on our product pages has improved since the speed fix"

"Before Father's Day (22 June), check if our gift product inventory is healthy"

Your AI will confirm the WakeUp, tell you what it's saved as the benchmark, and schedule the check. You can see all your pending and triggered WakeUps in the Wakeups section of your Ask AI dashboard.

Viewing and managing WakeUps

Your dashboard shows two views:

Ready for analysis — WakeUps whose trigger date has passed. These are the ones to act on: open Claude, ask it to run the analysis, and it will use the saved context and benchmarks to give you the comparison.

Upcoming — WakeUps still waiting for their trigger date, with how many days remain. You can cancel any of these if the question is no longer relevant — the AI will handle it gracefully.

The bigger picture

WakeUps are part of a broader shift in how AI tools can interact with your business data. Most AI usage today is reactive — you ask, it answers. WakeUps flip one part of that: your AI proactively surfaces something you care about, at the moment the data is ready to give you a useful answer.

That's not magic. It's just systematising the follow-up discipline that good analysts apply manually, and making it available to anyone with an AI assistant and a connected data source.

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WakeUps are available on all Ask AI plans. Sign up or connect your data sources from your dashboard to get started.