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channels consistently?",[],"data_table$1082e243-a44c-4198-b947-e1d2b67dee76",{"variation":32,"version":67,"items":1786,"primary":1787,"id":1910,"slice_type":931,"slice_label":5},[],{"text":1788},[1789,1792,1795,1798,1801,1804,1807,1810,1813,1816,1819,1822,1836,1839,1842,1845,1848,1851,1854,1856,1859,1862,1865,1868,1871,1874,1877,1901,1904,1907],{"type":676,"text":1790,"spans":1791,"direction":686},"During a demo, ask the provider to trace one real recommendation from source data to published rate.",[],{"type":676,"text":1793,"spans":1794,"direction":686},"Ask them to show:",[],{"type":953,"text":1796,"spans":1797,"direction":686},"which data influenced the recommendation",[],{"type":953,"text":1799,"spans":1800,"direction":686},"why the rate changed",[],{"type":953,"text":1802,"spans":1803,"direction":686},"which limits were applied",[],{"type":953,"text":1805,"spans":1806,"direction":686},"how the rate is approved",[],{"type":953,"text":1808,"spans":1809,"direction":686},"where the rate is published",[],{"type":953,"text":1811,"spans":1812,"direction":686},"how your team sees publishing errors",[],{"type":953,"text":1814,"spans":1815,"direction":686},"how the tool handles manual overrides",[],{"type":676,"text":1817,"spans":1818,"direction":686},"This test reveals whether the tool fits your real workflow. It also shows whether the provider can explain the pricing logic clearly enough for your team to trust it.",[],{"type":937,"text":1820,"spans":1821,"direction":686},"Rule-based vs machine learning pricing tools",[],{"type":676,"text":1823,"spans":1824,"direction":686},"Rule-based pricing tools follow predefined instructions. Machine learning models can identify patterns that change over time. In practice, many hotel pricing tools use a combination of rules, algorithms, hotel settings and human review.",[1825,1828,1831,1834],{"start":1826,"end":1827,"type":929},32,42,{"start":1829,"end":1830,"type":929},43,55,{"start":1832,"end":1833,"type":929},85,93,{"start":1375,"end":1835,"type":929},102,{"type":676,"text":1837,"spans":1838,"direction":686},"A rule might say: lower the rate if occupancy is below 40% two weeks before arrival. That rule is easy to understand and can be useful. But it can become rigid if booking behavior, lead times or market demand change.",[],{"type":676,"text":1840,"spans":1841,"direction":686},"The problem grows with complexity. Your team may need different rules for:",[],{"type":953,"text":1843,"spans":1844,"direction":686},"weekdays",[],{"type":953,"text":1846,"spans":1847,"direction":686},"weekends",[],{"type":953,"text":1849,"spans":1850,"direction":686},"room types",[],{"type":953,"text":1852,"spans":1853,"direction":686},"seasons",[],{"type":953,"text":483,"spans":1855,"direction":686},[],{"type":953,"text":1857,"spans":1858,"direction":686},"last-minute demand",[],{"type":953,"text":1860,"spans":1861,"direction":686},"long-lead bookings",[],{"type":953,"text":1863,"spans":1864,"direction":686},"minimum stays",[],{"type":953,"text":1866,"spans":1867,"direction":686},"special offers",[],{"type":676,"text":1869,"spans":1870,"direction":686},"Rules can overlap, become outdated or push the wrong price when the market changes in a way the rule did not anticipate.",[],{"type":676,"text":1872,"spans":1873,"direction":686},"Machine learning can help by identifying patterns in the available data without waiting for one fixed threshold. But it should not be treated as magic. The system still needs clean data, relevant settings and human supervision.",[],{"type":676,"text":1875,"spans":1876,"direction":686},"For example, the software may detect stronger demand around a concert. Your team may know that the event attracts guests who book late, or that renovations reduce the value of one room type during that period. A good pricing workflow leaves room for that knowledge.",[],{"type":676,"text":1878,"spans":1879,"direction":686},"For more background on this topic, read our article on the limitations of rule-based and market-based dynamic pricing. If you are specifically reviewing AI claims, our guide to AI pricing tools for hotels explains the difference between machine learning, generative AI and rule-based automation.",[1880,1891],{"start":1881,"end":1882,"type":682,"data":1883},59,117,{"id":1884,"type":452,"tags":1885,"lang":14,"slug":1886,"first_publication_date":1887,"last_publication_date":1888,"uid":1889,"url":1890,"link_type":24,"isBroken":34},"Z7d4aREAAB8Ab3ek",[],"dynamic-pricing-in-hotel-management-software-does-it-work","2025-02-20T18:46:04+0000","2025-11-27T15:51:11+0000","dynamic-pricing-hotel-pms-software-how-does-it-work","\u002Fen\u002Fblog\u002Fdynamic-pricing-hotel-pms-software-how-does-it-work",{"start":1892,"end":1893,"type":682,"data":1894},168,204,{"id":1895,"type":452,"tags":1896,"lang":14,"slug":1897,"first_publication_date":1898,"last_publication_date":1898,"uid":1899,"url":1900,"link_type":24,"isBroken":34},"ag7-HxIAACQAJIew",[],"best-ai-pricing-tools-for-hotels-in-2026-how-to-choose-the-right-one","2026-05-22T16:00:04+0000","best-ai-pricing-tools-hotels","\u002Fen\u002Fblog\u002Fbest-ai-pricing-tools-hotels",{"type":937,"text":1902,"spans":1903,"direction":686},"Which features matter most when choosing a dynamic pricing tool?",[],{"type":676,"text":1905,"spans":1906,"direction":686},"Do not evaluate a dynamic pricing tool only by the length of its feature list. 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The system can process data faster, but the hotel still needs to define the strategy, validate exceptions and make decisions based on local knowledge.",[2469,2471],{"start":978,"end":2470,"type":929},5,{"start":1667,"end":680,"type":929},{"type":676,"text":2473,"spans":2474,"direction":686},"That local knowledge can include:",[],{"type":953,"text":2476,"spans":2477,"direction":686},"a renovated room type that should command a higher price",[],{"type":953,"text":2479,"spans":2480,"direction":686},"a room temporarily affected by maintenance",[],{"type":953,"text":2482,"spans":2483,"direction":686},"an event that brings demand, but from a less profitable segment",[],{"type":953,"text":2485,"spans":2486,"direction":686},"a staffing constraint that makes very high occupancy harder to manage",[],{"type":953,"text":2488,"spans":2489,"direction":686},"a group request that changes displacement decisions",[],{"type":953,"text":2491,"spans":2492,"direction":686},"a channel that fills rooms but reduces margin",[],{"type":953,"text":2494,"spans":2495,"direction":686},"a local competitor change the data does not yet explain",[],{"type":676,"text":2497,"spans":2498,"direction":686},"A study of twenty hotel managers, published in the Journal of Revenue and Pricing Management, found that price setting remains a hybrid process under automation, with managers retaining control because local market and guest knowledge does not fully reach the system.",[2499,2503],{"start":2500,"end":1826,"type":682,"data":2501},2,{"link_type":390,"url":2502,"target":393},"https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1057\u002Fs41272-023-00447-5",{"start":2504,"end":1366,"type":1154},51,{"type":676,"text":2506,"spans":2507,"direction":686},"This is also how the tool should work in practice. Automation handles repeated calculations. Your team sets the direction, checks exceptions and corrects assumptions when the property context changes.",[],{"type":676,"text":2509,"spans":2510,"direction":686},"Look for controls such as:",[],{"type":953,"text":2512,"spans":2513,"direction":686},"room-level overrides",[],{"type":953,"text":2515,"spans":2516,"direction":686},"minimum and maximum prices",[],{"type":953,"text":2518,"spans":2519,"direction":686},"strategy settings",[],{"type":953,"text":2521,"spans":2522,"direction":686},"event adjustments",[],{"type":953,"text":2524,"spans":2525,"direction":686},"manual approval options",[],{"type":953,"text":2527,"spans":2528,"direction":686},"publishing alerts",[],{"type":953,"text":2530,"spans":2531,"direction":686},"audit trail",[],{"type":953,"text":2533,"spans":2534,"direction":686},"clear explanation of price changes",[],{"type":676,"text":2536,"spans":2537,"direction":686},"The principle is simple: the software should adapt to the property, not the other way around.",[],"rich_text$5705ce08-454f-47a8-8b2d-8aea53b01e60",{"variation":32,"version":67,"items":2540,"primary":2541,"id":2542,"slice_type":918,"slice_label":5},[],{},"divider$70df696f-1a88-4b17-9c9a-d134d2e3e817",{"variation":32,"version":67,"items":2544,"primary":2545,"id":2562,"slice_type":931,"slice_label":5},[],{"text":2546},[2547,2550,2553,2557],{"type":676,"text":2548,"spans":2549,"direction":686},"A dynamic pricing tool becomes useful when your data, systems and team can work from the same pricing logic. The recommendation has to be based on reliable inputs. The rate has to reach the right channels. And your team needs a clear way to review, adjust and understand the result.",[],{"type":676,"text":2551,"spans":2552,"direction":686},"Before choosing one, check what data drives the recommendation, where rates are published, how easily your team can intervene and how you will measure results. A good tool should help you make better pricing decisions with less manual work, not turn your revenue strategy into a black box.",[],{"type":676,"text":2554,"spans":2555,"direction":686},"Smartpricing helps hotels automate demand-based pricing while keeping strategy, limits and exceptions under control.",[2556],{"start":978,"end":979,"type":929},{"type":676,"text":2558,"spans":2559,"direction":686},"Want to see how automated pricing would work with your hotel’s data, systems and goals?",[2560],{"start":978,"end":2561,"type":929},87,"rich_text$5005b3a0-a35f-4fb3-ad44-e5108d119606",{"variation":32,"version":67,"items":2564,"primary":2565,"id":2581,"slice_type":2582,"slice_label":5},[],{"image":2566,"title":2567,"description":2571,"features":2575,"links":2576},{},[2568],{"type":676,"text":2569,"spans":2570,"direction":686},"Request a personalized demo",[],[2572],{"type":676,"text":2573,"spans":2574,"direction":686},"Talk to a Smartness expert and discover how to automate your pricing strategy and increase your property’s revenue by an average of 30 percent. Free, no obligation.",[],[],[2577],{"link":2578,"trailing":34,"icon":5},{"id":651,"type":56,"tags":2579,"lang":14,"slug":653,"first_publication_date":654,"last_publication_date":655,"uid":656,"url":657,"link_type":24,"key":2580,"isBroken":34,"text":659},[],"c1b5ee0e-c2b8-4a68-afec-01eff1daadc3","blog_cta$0f911c57-a4e6-45a3-8831-e759d1f2794c","blog_cta",{"variation":32,"version":67,"items":2584,"primary":2585,"id":2590,"slice_type":931,"slice_label":5},[],{"text":2586},[2587],{"type":937,"text":2588,"spans":2589,"direction":686},"FAQs",[],"rich_text$97076c06-5edc-4b6e-afdd-bb47b0f0e10e",{"variation":1016,"version":67,"items":2592,"primary":2593,"id":2697,"slice_type":2698,"slice_label":5},[],{"anchor_id":5,"type":2594,"items":2595},"single",[2596,2605,2614,2623,2632,2641,2650,2670,2679,2688],{"title":2597,"content":2601},[2598],{"type":676,"text":2599,"spans":2600,"direction":686},"What is a dynamic pricing tool for hotels?",[],[2602],{"type":676,"text":2603,"spans":2604,"direction":686},"A dynamic pricing tool is software that adjusts hotel room rates as demand, booking pace, occupancy and market conditions change. It helps hotels update prices more consistently and reduce manual work while keeping strategic control over limits and exceptions.",[],{"title":2606,"content":2610},[2607],{"type":676,"text":2608,"spans":2609,"direction":686},"Is a dynamic pricing tool the same as an RMS?",[],[2611],{"type":676,"text":2612,"spans":2613,"direction":686},"Not always. A dynamic pricing tool usually focuses on calculating and updating rates. A revenue management system, or RMS, may cover a wider workflow, including forecasting, restrictions, reporting and strategy support. Some providers use the terms interchangeably, so check what the software actually does.",[],{"title":2615,"content":2619},[2616],{"type":676,"text":2617,"spans":2618,"direction":686},"Do you need a PMS to use a dynamic pricing tool?",[],[2620],{"type":676,"text":2621,"spans":2622,"direction":686},"In most cases, yes. A dynamic pricing tool needs reliable reservation, inventory and cancellation data, which usually comes from the PMS. If the tool also publishes rates automatically, it often needs a PMS or channel manager connection.",[],{"title":2624,"content":2628},[2625],{"type":676,"text":2626,"spans":2627,"direction":686},"Can Chekin help with mandatory guest registration?",[],[2629],{"type":676,"text":2630,"spans":2631,"direction":686},"Yes. Chekin supports mandatory guest registration in over 30 countries, with processes adapted to local regulations and authority systems. Depending on the country or region, it either submits the required guest data directly or prepares the necessary forms and files.",[],{"title":2633,"content":2637},[2634],{"type":676,"text":2635,"spans":2636,"direction":686},"What data should a dynamic pricing tool use?",[],[2638],{"type":676,"text":2639,"spans":2640,"direction":686},"It should use both hotel data and market signals. Important inputs include historical bookings, future reservations, booking pace, cancellations, occupancy, room-type performance, events, market demand and competitor rates.",[],{"title":2642,"content":2646},[2643],{"type":676,"text":2644,"spans":2645,"direction":686},"Can a dynamic pricing tool replace your revenue manager?",[],[2647],{"type":676,"text":2648,"spans":2649,"direction":686},"No. A dynamic pricing tool supports the revenue manager by processing data, recalculating rates and publishing updates faster. The revenue manager still defines positioning, reviews exceptions, manages groups and makes decisions based on local knowledge.",[],{"title":2651,"content":2655},[2652],{"type":676,"text":2653,"spans":2654,"direction":686},"How much does a hotel dynamic pricing tool cost?",[],[2656],{"type":676,"text":2657,"spans":2658,"direction":686},"Cost depends on property size, number of rooms, features, integrations, onboarding and support level. Compare the full cost with the potential revenue impact, time saved and reduction in manual pricing errors. You can find more information about the cost of Smartpricing here.",[2659],{"start":2660,"end":2661,"type":682,"data":2662},271,275,{"id":2663,"type":56,"tags":2664,"lang":14,"slug":2665,"first_publication_date":2666,"last_publication_date":2667,"uid":2668,"url":2669,"link_type":24,"isBroken":34},"aS8O9hIAACUAcLzc",[],"price-and-features-of-smartpricing","2025-12-03T14:26:26+0000","2026-03-27T11:11:29+0000","smartpricing","\u002Fen\u002Fpricing\u002Fsmartpricing",{"title":2671,"content":2675},[2672],{"type":676,"text":2673,"spans":2674,"direction":686},"How long should you test a dynamic pricing tool?",[],[2676],{"type":676,"text":2677,"spans":2678,"direction":686},"A short pilot can test data flow, publishing and usability, but commercial results usually need a longer review because booking windows and seasonality affect performance. Define the pilot dates, baseline metrics and success criteria before starting.",[],{"title":2680,"content":2684},[2681],{"type":676,"text":2682,"spans":2683,"direction":686},"Will dynamic pricing work for a seasonal hotel?",[],[2685],{"type":676,"text":2686,"spans":2687,"direction":686},"Yes, if the setup reflects the hotel’s opening periods, compressed booking windows and seasonal demand patterns. Review assumptions before each reopening instead of carrying last season’s strategy forward unchanged.",[],{"title":2689,"content":2693},[2690],{"type":676,"text":2691,"spans":2692,"direction":686},"What is the most common mistake when implementing automated pricing?",[],[2694],{"type":676,"text":2695,"spans":2696,"direction":686},"The most common mistake is activating automation before validating data, room mapping, rate plans and price limits. Test several future dates, confirm distribution and assign someone to review exceptions during the first weeks.",[],"faq$130937d1-ba26-4fe2-961f-8e70326468fa","faq","Dynamic pricing tools for hotels: how to choose | Smartness","Learn what a hotel dynamic pricing tool does, which data and integrations it needs, and what to check before choosing the right software.",{},[2703],{"variation":32,"version":67,"items":2704,"primary":2705,"id":2717,"slice_type":2718,"slice_label":5},[],{"icon":5,"title":2706,"description":2710,"link":2714},[2707],{"type":676,"text":2708,"spans":2709,"direction":686},"Grow your hospitality business",[],[2711],{"type":676,"text":2712,"spans":2713,"direction":686},"Request a Smartness demo and discover how the Chekin integration simplifies check-in and guest services.",[],{"id":651,"type":56,"tags":2715,"lang":14,"slug":653,"first_publication_date":654,"last_publication_date":655,"uid":656,"url":657,"link_type":24,"key":2716,"isBroken":34,"text":659},[],"6a46fc66-b6cf-4479-b9d3-7fcbe0ecb51f","side_cta$38b56152-9f8f-40d2-958f-b2b45ece378e","side_cta","Dynamic pricing tools for hotels: how to choose",{},{"page":2722,"results_per_page":2500,"results_size":2500,"total_results_size":2723,"total_pages":1421,"next_page":2724,"prev_page":5,"results":2725,"version":2767,"license":2768},1,22,"https:\u002F\u002Fsmartness.cdn.prismic.io\u002Fapi\u002Fv2\u002Fdocuments\u002Fsearch?ref=anzg3hEAACgAIeji&q=%5B%5Bnot%28my.blog.uid%2C+%22dynamic-pricing-tools-hotels%22%29%5D%5D&q=%5B%5Bat%28my.blog.category%2C+%22Z5uZwhIAACgAK4yC%22%29%5D%5D&q=%5B%5Bat%28document.type%2C+%22blog%22%29%5D%5D&orderings=%5Bdocument.first_publication_date+desc%5D&page=2&pageSize=2&graphQuery=%7B%0A++++++++blog+%7B%0A++++++++++title%0A++++++++++description%0A++++++++%7D%0A++++++%7D&lang=en",[2726,2747],{"id":2727,"uid":2728,"url":2729,"type":452,"href":2730,"tags":2731,"first_publication_date":2732,"last_publication_date":2733,"slugs":2734,"linked_documents":2736,"lang":14,"alternate_languages":2737,"data":2738},"anWOexEAACkAFcBz","dynamic-pricing-airbnb-how-it-works","\u002Fen\u002Fblog\u002Fdynamic-pricing-airbnb-how-it-works","https:\u002F\u002Fsmartness.cdn.prismic.io\u002Fapi\u002Fv2\u002Fdocuments\u002Fsearch?ref=anzg3hEAACgAIeji&q=%5B%5B%3Ad+%3D+at%28document.id%2C+%22anWOexEAACkAFcBz%22%29+%5D%5D",[],"2026-08-11T13:54:11+0000","2026-08-11T17:47:23+0000",[2735],"dynamic-pricing-for-airbnb-how-to-choose-the-right-setup",[],[],{"title":2739,"description":2743},[2740],{"type":893,"text":2741,"spans":2742,"direction":686},"Dynamic pricing for Airbnb: how to choose the right setup",[],[2744],{"type":676,"text":2745,"spans":2746,"direction":686},"Learn when Airbnb Smart Pricing is enough and when a dedicated pricing tool gives you more control.",[],{"id":2748,"uid":2749,"url":2750,"type":452,"href":2751,"tags":2752,"first_publication_date":2753,"last_publication_date":2753,"slugs":2754,"linked_documents":2756,"lang":14,"alternate_languages":2757,"data":2758},"aj0EhBIAACwA_hIx","hotel-booking-engine-conversion-gap","\u002Fen\u002Fblog\u002Fhotel-booking-engine-conversion-gap","https:\u002F\u002Fsmartness.cdn.prismic.io\u002Fapi\u002Fv2\u002Fdocuments\u002Fsearch?ref=anzg3hEAACgAIeji&q=%5B%5B%3Ad+%3D+at%28document.id%2C+%22aj0EhBIAACwA_hIx%22%29+%5D%5D",[],"2026-06-26T07:00:00+0000",[2755],"hotel-booking-engine-conversion-4-reasons-guests-drop-off",[],[],{"title":2759,"description":2763},[2760],{"type":893,"text":2761,"spans":2762,"direction":686},"Hotel booking engine conversion: 4 reasons guests drop off",[],[2764],{"type":676,"text":2765,"spans":2766,"direction":686},"See where your booking flow loses guests and what to change to win more direct bookings.",[],"3f9f504","All Rights Reserved",1786569134880]