From 2 hours of data assembly
to 5 minutes of analysis.

You're the one pulling PMS exports, cross-checking the channel manager, opening the rate-shopper, building the diff in Excel. By the time you're ready to actually think about the data, two hours are gone.

Peaqplus gives you the data ready. The same Insight dashboards you'd have built in Excel — pre-built, refreshed nightly, anchored to a snapshot store you can replay. The two hours go to analysis instead of assembly.

Your RMS optimizes the rate — and does it well. But the analytical layer is weak. Pickup-by-channel, segment-level performance, forecast accuracy tracking, management-readable reports — those still happen in Excel. You're spending hours per week building what should already exist.

Peaqplus is the dashboard next to the steering wheel. The RMS keeps optimizing the price; Peaqplus handles the depth — pickup tracking by channel and segment, Pace vs LY same-point, monthly forecast accuracy, exec reports. The RMS stays — Peaqplus adds the layer it doesn't.

You know the routine.

Log into the PMS. Export yesterday's pickup. Cross-check rate parity in the channel manager. Manually compute the diff in Excel. Open the rate-shopping tool, scroll for compset moves. Build the summary. By the time you start analyzing, two hours are gone.

Anna opens her laptop. Pickup yesterday: −23% vs forecast. Pulse AI already wrote the why in the morning briefing: a 40-room corporate group dropped, three competitors moved weekend rates down 15%. Last quarter she'd have spent 40 minutes pulling this data herself. Today she spends those 40 minutes deciding what to do.

She opens Smart Forecast. The AI suggests Friday pickup down 12% based on the competitor moves. She agrees, marks the change reason ("competitor weekend pricing pressure"), commits the new version. The Pricing Engine auto-pushes adjusted rates to the channel manager.

Slack notification: the GM tagged her in a Discussion thread on the Insight row "Booking.com revenue, week 18." Direct revenue is up 4%, Booking.com down 11%. Anna replies in 30 seconds, attaches a screenshot, converts the thread into a Decision: "Investigate direct cannibalization, owner: Marketing." Auto-task created. Marketing notified.

Weekly review. The Revenue Meeting page opens with all 12 tiles pre-populated and an AI summary. The GM, Sales head, and Marketing manager review. Three decisions logged with owners and deadlines. Meeting health: green.

Anna closes her laptop. She didn't open Excel today.

Petra opens the Peaqplus Daily Briefing. Yesterday: occupancy 78%, ADR €148 (+€4 vs LY same-point). The RMS already adjusted weekend rates overnight — she sees that move in the briefing, alongside the demand drivers that caused it. The RMS tells her what changed in pricing; Peaqplus tells her what changed in the demand picture.

Pace Insight opens. Corporate −18% vs LY same-point, MICE flat, transient retail up. The RMS isn't telling her this — it optimizes the rate, not the segment mix. Two large corporate accounts haven't repeated last year's pattern. She drops a Slack ping to Sales: "can we check on Acme and Globex."

Monthly accuracy report drops in her inbox — Peaqplus Smart Forecast vs the RMS forecast vs actuals, three-way comparison. RMS underestimated April pickup by 8%; Peaqplus by 4%. The accuracy comparison is itself a conversation she can take into the next vendor review.

A row on the channel performance report shows Booking.com revenue −22% in W21. Petra opens a Discussion thread on that row, tags Marketing. Marketing pushes a flash campaign. The decision is logged, owner and outcome traceable — none of this lives in the RMS, none of this used to live anywhere structured.

She opens next week's Revenue Meeting page. AI Report Narrative has drafted the summary: "Pickup soft in W21-22 (corporate driver), pace recovery expected in W23, RMS already adjusted Friday rates." She tweaks one sentence, schedules the meeting. The exec deck — used to take Friday afternoon — is now a 10-minute review.

The RMS tab is still open — pricing decisions, demand sensing, auto-push all running quietly. Peaqplus next to it has handled the analytics, the audit, and the exec reporting. Two tools, one workflow. The RMS does pricing; Peaqplus does everything around the pricing decision.

See your OTB as of any past date. Verify forecast accuracy, replay last week's meeting state, train new team members on real history.

Week-position comparison, not date comparison. Thursday W17 to Thursday W17 — defensible YoY on every report.

OTA + corporate + room revenue + same-point + 30-day window — one report, one screen.

Monthly error-rate report on your own data — 7-, 14-, and 30-day horizons, raw vs AI side by side. Most AI tools promise; Peaqplus measures.