Daylight is ApartmentIQ's AI-powered revenue management platform. It generates daily pricing recommendations for new leases and renewals, driven by a demand forecasting model trained on 40M+ daily unit prices, 16M+ publicly available lease records, and 5 years of historical market data. Daylight is built to be transparent — every recommendation comes with visible reasoning so your team understands the "why" behind each price, rather than receiving unexplained outputs from a black box.

Daylight stands apart in three ways:

• Transparency: Daylight shows the reasoning behind every recommendation — occupancy trends, leasing velocity, competitive pricing, seasonal patterns, and unit characteristics — so your team can review and trust each suggestion.
• Data quality: Recommendations are powered by ApartmentIQ's proprietary dataset of 40M+ daily unit prices, 16M+ leases, and 5 years of historical data. No anonymized, pooled, or self-reported competitor data is ever used.
• Compliance-first design: Daylight is built to operate within current legal and regulatory requirements, including DOJ compliance guidelines and built-in rent control tools for CA, NY, and other regulated markets.

Daylight is ApartmentIQ's revenue management product. ApartmentIQ is the company name; Daylight is the platform. ApartmentIQ also offers other products including market survey and competitive intelligence tools. 

Yes. Daylight pilots include an advisor from the customer success team. A Daylight pricing advisor can also stay on for the full duration of the relationship at additional cost.

Daylight is designed to align with current regulatory standards and protect our users. We address compliance through two distinct configurations:

• Standard Privacy & Antitrust Guardrails: Unlike legacy systems that rely on shared, non-public competitor data, Daylight does not use anonymized, pooled, or privately shared data from other operators. Your property’s data is kept entirely private and is never used to inform pricing for competing properties. All external market signals are drawn exclusively from publicly available data.
• Restricted Local Configurations (e.g., Seattle, New York): In jurisdictions with specific regulatory constraints on algorithmic pricing tools, Daylight can be deployed in a specialized configuration. In this mode:
  • Pricing recommendations are generated solely from your own property’s operational, integrated data (such as rent roll, availability, and historical performance).
  • The software excludes the use or display of external competitor or market databases in the recommendation workflow.
  • Your team retains full control to review, accept, hold, or override any recommendation before it is applied.

Daylight applies regulatory guardrails at the property level, allowing portfolios that span multiple counties or municipalities to manage localized rules.

We can configure Daylight during setup to support local requirements, including:

• California Renewal Caps: Configured to restrict renewal increases in accordance with regional caps (e.g., the 9.9% / 12-month rule).
• Washington State Lease Parity: Includes automated guardrails designed to prevent the highest rent across lease terms for a unit from exceeding the lowest by more than 5%.

During onboarding, the ApartmentIQ implementation team will work with you to configure each property to its applicable regulatory limits before your go-live date.

To help prevent onsite teams from accidentally applying market-rate pricing to income-restricted inventory, Daylight offers two configuration options:

• Exclusion: Affordable units can be flagged during setup and completely excluded from Daylight’s pricing recommendations.
• Pricing Caps: Alternatively, you can use Daylight to price these units while applying strict, pre-configured maximum ceiling prices to ensure recommendations do not exceed regulatory limits.

Your implementation team will help you configure your mixed-income properties according to your specific operational preferences during setup.

Daylight currently features a two-way API integration with Yardi, including full PMS data ingestion and push-back of approved rates. ResMan is also supported. If you are on a different PMS, contact your ApartmentIQ team to discuss integration options and current roadmap support.

Submitters will submit rates for approval by an Admin user. After the Admin hits “Approve” in Daylight, rents are pushed to the PMS in real time via an API integration — not a flat sync file. The PMS then picks up those rents and pushes them to your website and ILS partners on a scheduled basis.

New lease rates and renewal rates sync to the PMS instantaneously once approved in Daylight.

At least three pickups a day — one mid-morning (around 10–11 AM) and additional pickups at roughly 2–4 hour intervals through the end of day. Best practice is to review and approve rates first thing in the morning, aligned to your PMS-to-website sync window, so changes reach your websites the same day.

Daylight automatically pulls once each morning; timing can be configured around your scheduled blackout periods and daily processes. Admin users can also trigger an on-demand pull for any single property from the settings page — useful when a unit just came on notice mid-day and you need a price immediately.

No. The "Update Market Rent" checkbox in Yardi can stay unchecked, so your budget rents and market rents remain untouched. Daylight manages advertised rents only — the rates displayed on your website and ILS listings.

Three ways: 

1. Manually approve a price the day after the unit comes available — the overnight pull will have picked it up.
2. Set up auto-acceptance so new units are priced automatically each day right after the morning PMS pull with no manual step. 
3. An admin can trigger an on-demand re-pull for that property mid-day to generate a price and approve it immediately.

In Daylight settings you choose how many move-in days to send to the PMS:

• Up to 90 days of move-in dates can be pushed every day
• You can separately configure how many move-in-day options are shown on your website to prospective renters

Daylight's pricing is driven by an AI demand forecasting model that predicts the likelihood of each unit leasing at various price points within a configurable time horizon. The model has been trained on 16M+ publicly available lease records and evaluates:

• Leasing velocity and current exposure
• Occupancy trends and target occupancy gap
• Competitor pricing from publicly available data
• Seasonal demand patterns, historical and forward looking
• Unit-level characteristics (floor plan, renovation status, amenities, available date)
• Year over year leasing trends at the property and market level.

We leverage a forecasting method then tests multiple pricing scenarios to identify the price point that maximizes projected 12-month revenue — balancing rent growth with occupancy. No private customer data is used in model training; property-specific PMS data is incorporated only when generating recommendations for that property.

Yes. Daylight evaluates your available units at a net-effective price point, your leased-unit prices based on the booked concessions on each lease, and competitor rates on a net-effective basis — looking at what concessions were advertised at the time units were leased and never re-listed. All rates are normalized to a per-square-foot basis to account for unit-product differences.

No. The model can run without comp data — it prices off your own leasing activity, asking vs. achieved, and exposure, evaluating each factor independently. Comps tune the recommendation when available. For properties where you want to exclude comp data entirely, a model variant trained exclusively on your own property data is available.

Yes. Daylight is built to be transparent rather than a black box. For each recommendation, you can view the 8 key factors the model considers — including current occupancy and exposure, leasing velocity, competitor pricing from public data, seasonal demand patterns, and unit-level characteristics. The Price History report also shows what the model recommended versus what was actually implemented, giving you a full audit trail for review and accountability.

Competitor pricing carries some weight in the model's rate decisions, but only using publicly available data — never anonymized, pooled, or privately shared competitor information. Competitor data can also be excluded entirely for specific properties, or you can use a model variant trained exclusively on your own property data. See the Comp Set & Market Data section for more detail.

The default forecast horizon is 84 days. An aggressive 28-day horizon is also available and can be changed under settings.

• Generation: Rates are updated daily by the model.
• Review: Best practice is for teams to review suggested adjustments daily or every other day.
• Submission: Best practice is to submit changes to the PMS 1–3 times per week.
• Approval: Admins typically approve rates 1–3 times per week, though this can be customized to fit your workflow.

Yes. When rates are approved, an email notification can be automatically scheduled to deliver after approval. Recipients are configured in settings. Contact your ApartmentIQ team to enable this for your properties.

Yes. A unit with a pending application is treated differently from a fully vacant unit. Daylight tracks denials and cancellations and accounts for application conversion rates in the leases-needed calculation to hit your target occupancy.

Yes. Because lease-up assets have limited historical data, the model relies more heavily on submarket and comp set data during the early lease-up phase. Speak with your ApartmentIQ team about configuring the appropriate forecast horizon, occupancy targets, and expiration curve settings for a lease-up scenario.

Renovated or upgraded units are reflected through unit amenity premiums — a component of rent construction (base rent + floor plan premium + unit amenities). When the renovated unit type starts transacting, the model picks up the new signal and recalibrates within days to weeks.

All terms feed to your CRM (e.g., RentCafe) so the team can quote exactly what the prospect asks for — move-in date plus term. If a prospect wants a lower price, suggest an alternative date or term that lands the best price for that unit. Many prospects already see the best price online before they call, so quoting what they want first is best practice.

Yes. The recommended minimum is 40 units per bed group for the model to generate reliable recommendations.

Daylight uses floor plan premiums and unit-specific available dates to differentiate pricing. Amenity data is pulled directly from your PMS and incorporated into unit-level recommendations.

Daylight provides unit-level pricing that accounts for each unit's available date. Discounts can be automatically or manually applied to units that are aging or vacant, and premiums can be applied to units with long lead times.

TBD units are leases expiring within the forecast window where the renewal decision has not yet been made. The model uses historical renewal rates and unit characteristics to predict the probability of renewal for each TBD unit, which informs how much supply the model treats as available. Projected exposure includes expected move-outs from TBD units plus expected lease breaks — modeled from historical rates.

Down units are excluded from pricing recommendations. For evictions: if the eviction date is beyond the forecast horizon, the unit is excluded. If the eviction is within the forecast window, it is factored into the recommendations. Lease breaks and evictions within the forecast window are tracked against a budget that is automatically generated from historical trends and can be managed manually.

A configurable number of days to hold the best price for a unit after it becomes available — a window in which the quoted price is guaranteed before the model can adjust it again. By default this is 5 days. After the grace period, the rate starts to increase the longer the unit is held vacant, based on your configured rent change days setting.

The move-in grace period sets the number of days the best-price rate is held before vacancy loss and turn costs start increasing the daily rate. Rent change days sets how frequently the price changes across move-in dates after the grace period ends. For example: best rate held for 5 days, then price increases every 2 days starting on Day 6 to account for accumulating vacancy loss.

Staleness is an optional setting where you configure the discounting speed and maximum allowed discount for older, aging inventory. Default triggers at 30 days vacant, with a 1% discount every 7 days and a cap of 10%. Watch for PMS date entry errors — for example, ResMe notice dates defaulting to 2023 — that can make a unit appear extremely stale. Always verify in the PMS before assuming true staleness.

Yes. You can set an override on a specific unit, which applies to the best term for that unit and then scales across the rest of the pricing matrix accordingly.

Move-in blackout dates (such as Sundays or holidays) are not configured within Daylight. These should be set up in your CRM.

Unit type groupings are configured during onboarding and can be adjusted by your ApartmentIQ team. If you want a specific floor plan treated as part of a different bed group for pricing purposes — for example, treating a 2x1B as part of your 2x2 category — reach out to your ApartmentIQ contact to request the change.

Operators set a vacancy loss assumption per property that factors into how the model prices across lease terms. Shorter terms with more frequent turnover carry a higher implied vacancy cost, which the model accounts for when evaluating pricing scenarios.

Yes. Target occupancy is set per strategy at the bed group level. It is recommended to update occupancy targets if your strategy changes or the asset is underperforming, but they can be updated as often as needed.

Any settings change goes into effect immediately after saving. When a new data feed is pulled — on the daily schedule or an on-demand pull — the model is also recalibrated and generates new recommendations.

Daylight manages lease expirations through a budgeted expiration curve — a target distribution of when leases should expire throughout the year. This avoids seasonal clustering and minimizes vacancy risk. Once the curve is set, the pricing engine uses it alongside the New Lease Rent Matrix settings — including short-term premiums, turn costs, and vacancy loss assumptions — to steer lease term offers toward a balanced expiration distribution.

There are three options:

• Manual: You input your own budgeted expiration targets based on your portfolio strategy.
• Submarket Model: Daylight builds the curve using publicly available leasing data from your submarket, reflecting local seasonal demand patterns and absorption trends.
• Comp Set Model: The curve is built from public data specific to your defined competitive set, aligning your expiration strategy to the properties you compete with directly.

Offered lease terms are fully configurable in Daylight. You can choose not to offer short terms at all, or offer them with large premiums that reflect the expected incremental turn cost of a shorter lease. Any terms you offer in Daylight should be mirrored in your CRM and website setup so they're visible to prospective renters.

The terms allow you to shape where expirations land. Opening a longer term (e.g., 14 months) can make a later month the optimal expiration slot. If you only want expirations through 12–13 months, turn off the longer terms and the model fills gaps in the months where you have more expirations. Tightening the term range steers expirations toward your preferred months.

You can configure:

• Minimum and maximum increase limits
• Allowed lease terms (including short-term)
• Starting base rent definition (NER, gross, last leased, etc.)
• Market rent definition used as the renewal ceiling
• Gap-to-market tiers with per-tier min/max rules
• Short-term premium and renewal cost (turn cost) premium separately

Gap-to-market tiers segment residents by how far their in-place rent sits below or above market. For example, '0–92%' means residents whose in-place rent is up to 92% of new lease rent receive an increase that brings them up to 95% of the market. You can also set a minimum and maximum increase as a dollar amount or percentage — e.g., 0–92% tier: up to 95% of market, min increase $100, max increase $250. Each tier's interval range, its target, and its min/max are fully adjustable.

Renewal cost adds a premium to shorter lease terms so they price higher than longer ones — a shorter renewal could turn over sooner, costing you in vacancy and turn costs, so the price reflects that risk. There is a separate configuration to set an additional short-term premium on top of renewal cost. Shorter terms (7–12 months) carry a bigger premium; longer terms carry less. It is a pricing lever, not your actual renewal-bonus expense.

Users select a date range, generate a batch of upcoming renewals, review the full matrix of offers per unit (current rent, renewal offer by term, new lease rent, forecasted market rent at expiration, trade-out %, limits hit), and approve to push directly into your PMS.

The month-to-month rate can be set off either the highest-priced term or the best-price term, as a dollar amount or a percentage. MTM renewals can be batched alongside upcoming standard renewals, reviewed with all relevant unit and resident details visible, and approved to push directly into your PMS. MTM status is filterable across renewal performance reports.

Yes. You can configure which lease terms are available for renewals, including shorter terms. Daylight will generate offers for each allowed term based on your configured constraints. You can then review the full matrix of offers and selectively approve which terms to push into your PMS.

Once Yardi is configured to accept revenue-management prices, renewal prices are approved in Daylight and sent to Yardi immediately through the API integration. The offers don't automatically go out to residents — renewal letters are generated in the Yardi workflow using the approved terms and prices from Daylight, then delivered to residents through your CRM.

Daylight generates renewal rent offers based on your configured constraints. Renewal concessions (such as a free month) are not generated by Daylight directly — if your renewal strategy includes concessions, those would be applied manually in your PMS after Daylight pushes the renewal offer. Note that net effective rent, including any existing concessions, are factored into new lease pricing logic.

Yes. All recommendations fall within configurable guardrails, including price floors, price ceilings, and maximum rate change thresholds per daily and weekly cycle.

Yes. The model can automatically accept and publish recommendations within predefined daily and weekly guardrail limits, removing the need for manual approval on every rate change. If the system recommends a change outside the parameters you've set, it surfaces that change for manual review rather than auto-applying it.

Yes. Auto-accept can be globally disabled or hidden entirely from the UI by an ApartmentIQ admin.

Nothing pushes until approved. You can approve, override, or hold — and configure approval routing so a reviewer sees changes first. You can also configure auto-acceptance to run automatically within your configured boundaries. Recommendations refresh daily after the data pull, and you decide when to review and approve.

When rates are approved, an email notification can be automatically scheduled to deliver after the rate approval. Recipients are configured in settings. Contact your ApartmentIQ team to set this up.

Daylight supports configurable role-based permissions:

• Submitter: Can view recommendations, request loss leaders, and submit rate actions — cannot approve. Onsite managers can be given a submitter role with override thresholds (e.g., reduce rate by up to a set % or $ without approval). Changes exceeding the threshold require admin approval.
• Approver: reviews submitted actions, modifies if needed, and confirms. Can also take rate actions directly. Also has admin rights to all settings.

Guardrails including price ceilings, floors, and maximum change thresholds can be configured at the portfolio or corporate level. Any recommendation generated by the model will fall within those limits. If a specific scenario requires an additional review layer, this can be addressed through the approval threshold and role-permission configuration.

Best practice:

• Rates are generated daily by the model.
• Onsite teams review suggested adjustments daily or every other day.
• Rate submissions to the PMS are made 1–3 times per week.
• Admin approval of submitted rates happens 1–3 times per week, though this can be customized.

For teams using auto-accept with guardrails, manual review frequency can be reduced. Your ApartmentIQ team can help you establish a cadence that fits your staffing model and approval structure.

Yes. Admin users will configure the comp set for each property within Daylight and have full autonomy over which properties are included. The platform can also be configured to completely exclude competitor data for specific properties. For properties where you want to use only your own historical data, a model variant trained exclusively on your property data is available. Contact your ApartmentIQ team to adjust your comp set configuration.

Yes. The platform can be configured to completely exclude competitor data for specific properties, or you can use a model variant trained exclusively on the property owner's own data.

Yes. The model is trained exclusively on publicly available market data. No proprietary, non-public, or anonymized competitor data is used for training or recommendations. Your property's data is never shared with other operators.

Daylight includes the following reports:

• Lease Tradeout: Analyzes rent changes by comparing prior lease rates to new agreements, segmented by new leases and renewals. 
• Executed Lease Analysis: Historical occupancy and leased percentage by property and floor plan.
• Expiration Summary: Assess how your lease expirations align with your monthly goals to help prevent gaps in occupancy and stabilize future pricing. 
• Available Units Report: Shows all currently available units. Find best lease term, lease price, amenities and more. 
• Amenity Audit: Audit and correct amenity tags at the unit level. Spot inconsistencies, drive pricing accuracy, and quantify amenity premiums across your portfolio.
• Lease Compliance: Audit in-place rents vs quoted rents. Highlight and review variances. 
• Renewal Performance Reports: Review all pending and executed renewal offers. 
• Historical Comments Report: Generate a report of historical comments for any bed group (extension to run across multiple properties is on the roadmap)

Yes. The compliance report can surface pending applications in addition to fully executed leases. The report distinguishes between the two statuses so you can read them separately. If you are unsure how application statuses are being mapped, contact your ApartmentIQ team to confirm the configuration.

Yes. Daylight provides an Average Leased Rent based on the last 5 leases within the last 84 days for a bed group. Short-term leases can be excluded from this calculation if preferred.

Yes. The model is trained on net effective rent and factors current concessions into its pricing logic from day one — rather than catching them retroactively.

Onboarding includes PMS integration setup, configuration of property-level settings (occupancy targets, guardrails, expiration curve, comp set, rent control rules), and training for your team. The timeline varies based on PMS complexity and portfolio size, but most customers go live within a few weeks of kickoff. ApartmentIQ provides white-glove onboarding, training and support throughout, including a side-by-side testing period where you can compare Daylight's recommendations against your current process before fully cutting over.

Yes. Many customers begin with a subset of their portfolio to build familiarity with the platform before a full rollout. A pilot approach allows you to run Daylight alongside your existing process for a defined period, compare outcomes, and build internal confidence before expanding. Speak with your ApartmentIQ team about structuring a pilot that fits your organization.

ApartmentIQ provides role-based training covering the full Daylight workflow. Training is available for onsite staff, regional managers, and admins. Our onboarding team will collaborate with our Product Training team, who will deliver initial training at go-live. 

• Admins: Training will review setting configuration, approving rates, and interpreting reports. 
• Submitters: Training will review reading the new lease dashboard and how to conduct rate reviews in Daylight. 

See the User Roles & Approval Workflows section for the recommended review and approval cadence. Beyond daily rate review, best practice is to revisit property-level settings (occupancy targets, expiration curves, guardrails) whenever your strategy changes or an asset is underperforming. Our pricing advisory team is here to support you with your pricing efforts. To learn more, please reach out to your onboarding contact.