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case study

When long-stay logic breaks your booking engine

The Base operates long-stay apartments in Germany. Their business model is not built on nightly bookings. It includes tiered monthly pricing, length-of-stay incentives, and operational restrictions.

They needed a booking system aligned with how long-stay housing actually works.

Custom booking engine
Long stay
Flexible living
about the client

Urban long-stay living built for flexibility

The Base offers design-led long-stay apartments with minimum 28-day stays. Their commercial strategy is clear: encourage longer contracts to increase occupancy stability and reduce operational overhead.

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Guests immediately see tiered pricing options:

  • 1–2 months
  • 3–4 months
  • 5–6 months

The longer the stay, the more attractive the monthly rate.

High occupancy and a lean operations team mean the booking flow must align with both pricing logic and operational rules from the start.

The challenge

When your pricing model outgrows standard booking logic

Before moving to Mews, The Base used another PMS with a custom-built booking front end tailored to their long-stay model.

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When transitioning to Mews, the risk was clear.

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Relying on a standard short-stay structure would remove their ability to clearly present tiered monthly pricing, differentiate 1–2, 3–4, and 5–6 month rates, and enforce operational rules like restricted check-in days.

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Guests would see nightly pricing instead of structured monthly offers. Longer stays would appear expensive or unclear. Conversion would drop, and staff would need to step in.

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For a business built on length-of-stay optimization, that misalignment would threaten occupancy stability.

The solution

A booking flow that handles long-stay complexity

A Custom Booking Engine on top of Mews that reflects how long-stay actually works. Instead of forcing The Base’s model into standard hotel logic, the booking experience was adapted to support minimum stay rules, flexible move-in dates, and monthly pricing, all while keeping Mews as the single source of truth.

Dynamic calendar

Dynamic availability that respects long-stay rules

  • A calendar that only allows selection of valid move-in and move-out dates.
  • No dead ends or false availability.
  • Guests are guided toward bookable options instead of guessing.
Smart pricing

Monthly pricing without sticker shock

  • Pricing is presented per month, even though calculations remain nightly in Mews.
  • Guests never see a large lump-sum total during the decision phase.
  • The pricing model matches how The Base actually sells its product.
Collect guest info

Custom booking flow for long-stay needs

  • Collection of required guest information during the booking, not after.
  • Clear explanation of what is included in the stay.
  • Optional fields and steps designed around long-stay decision making.
Mews at the core

One system, zero workarounds

  • All reservations, availability, and payments are handled directly in Mews.
  • The Custom Booking Engine acts as a flexible front-end layer, not a parallel system.
  • No duplicate tools, no manual syncing, no operational hacks.
The results

Two-phase rollout combining automation and custom design

Vibestay’s digital transformation took place in two focused phases. First, they connected Mews and HubSpot to eliminate manual data entry and unify all reservations in one system. Then, they launched a fully branded Custom Booking Engine to automate student housing applications, payments, and contracts from start to finish.

The results

Long-stay bookings aligned with business economics

The move to Mews strengthened, rather than diluted, The Base’s long-stay pricing strategy. Their booking flow now actively supports occupancy stability and length-of-stay optimization.

Fully self-serve long-stay bookings

Guests can now complete valid long-stay bookings online, end-to-end, without manual involvement from the reservations team.

No more broken availability paths

The dynamic calendar only shows bookable move-in and move-out dates, eliminating dead ends and silent drop-offs caused by invalid date selections.

Monthly pricing that makes sense

Pricing is clearly presented per month, even though calculations run nightly in the PMS, removing confusion and sticker shock during the booking process.

Less operational overhead

Required guest information is collected during the booking flow, reducing follow-up emails, manual checks, and fragmented post-booking processes.

Running long-stay on Mews?

If you run a long-stay or flexible living business and Mews’ default booking engine does not match your model, we can help.

We design Custom Booking Engines on top of Mews that handle minimum stay rules, mid-month move-ins, and monthly pricing, without manual work for your team.

See how this would work for your setup.

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