{"id":27192,"date":"2025-01-10T09:25:24","date_gmt":"2025-01-10T08:25:24","guid":{"rendered":"https:\/\/www.orisa.de\/?page_id=27192"},"modified":"2026-03-10T15:36:16","modified_gmt":"2026-03-10T14:36:16","slug":"ai-cpq","status":"publish","type":"page","link":"https:\/\/www.orisa.de\/en\/ai-cpq","title":{"rendered":"AI CPQ"},"content":{"rendered":"
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Effi\u00adci\u00adent CPQ Soft\u00adware with AI for Your Pro\u00adduct Con\u00adfi\u00adgu\u00adra\u00adti\u00adon<\/h1><\/span>
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Auto\u00adma\u00adted Pro\u00adces\u00adses thanks to Arti\u00adfi\u00adci\u00adal Intel\u00adli\u00adgence<\/h2><\/span>
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Know\u00adledge-Based Sys\u00adtems: How AI Boosts Your Pro\u00adduc\u00adti\u00advi\u00adty<\/h3><\/h3><\/span>
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The AI-powered CREALIS\u00ae CPQ soft\u00adware<\/a> inte\u00adgra\u00adtes and auto\u00adma\u00adtes pro\u00adces\u00adses rela\u00adted to pro\u00adduct con\u00adfi\u00adgu\u00adra\u00adti\u00adon, pri\u00adce cal\u00adcu\u00adla\u00adti\u00adon, and, ulti\u00adm\u00adate\u00adly, quo\u00adte gene\u00adra\u00adti\u00adon. The embedded rules are used to make decis\u00adi\u00adons, sol\u00adve pro\u00adblems, and draw con\u00adclu\u00adsi\u00adons. This goes bey\u00adond mere\u00adly attemp\u00adting to repli\u00adca\u00adte human thought struc\u00adtures on a com\u00adpu\u00adter. In fact, know\u00adledge-based con\u00adfi\u00adgu\u00adra\u00adti\u00adon solu\u00adti\u00adons like CREALIS\u00ae CPQ have long held a place in the realm of AI sys\u00adtems. Known as \u201cexpert sys\u00adtems\u201d or \u201cknow\u00adledge-based assis\u00adtance sys\u00adtems,\u201d they are desi\u00adgned to sup\u00adport humans in sol\u00adving spe\u00adci\u00adfic pro\u00adblems. Even wit\u00adhout addi\u00adtio\u00adnal ele\u00adments such as machi\u00adne lear\u00adning, deep lear\u00adning, or gene\u00adra\u00adti\u00adve AI like ChatGPT, AI-powered CPQ soft\u00adware encom\u00adpas\u00adses seve\u00adral aspects of the Euro\u00adpean Com\u00admis\u00adsi\u00adon\u2019s \u201cAI Taxo\u00adno\u00admy,\u201d inclu\u00adding know\u00adledge repre\u00adsen\u00adta\u00adti\u00adon, auto\u00adma\u00adted reaso\u00adning, and auto\u00adma\u00adted plan\u00adning. As a result, it demons\u00adtra\u00adb\u00adly acce\u00adle\u00adra\u00adtes quo\u00adte gene\u00adra\u00adti\u00adon<\/a> while redu\u00adcing errors. For high-per\u00adfor\u00admance com\u00adpa\u00adnies, its imple\u00admen\u00adta\u00adti\u00adon can be con\u00adside\u00adred stan\u00addard prac\u00adti\u00adce.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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What are the Key Fea\u00adtures for a Seam\u00adless Quo\u00adta\u00adti\u00adon Pro\u00adcess and Secu\u00adre Order Ful\u00adfill\u00adment?<\/h3><\/span>
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In CREALIS\u00ae CPQ, offer manage\u00adment is ful\u00adly audit-pro\u00adof, and chan\u00adge his\u00adto\u00adries are trans\u00adpar\u00adent\u00adly traceable. Access to quo\u00adta\u00adti\u00adon docu\u00adments is gover\u00adned by a secu\u00adre per\u00admis\u00adsi\u00adons struc\u00adtu\u00adre, and sen\u00adding docu\u00adments asso\u00adcia\u00adted with a quo\u00adte is simp\u00adle and user-fri\u00adend\u00adly. During the quo\u00adting pro\u00adcess, offers can be saved at any time, ide\u00adal\u00adly as a new revi\u00adsi\u00adon. After a con\u00adtract is fina\u00adli\u00adzed, the order is seam\u00adless\u00adly trans\u00adfer\u00adred into the con\u00adnec\u00adted order manage\u00adment sys\u00adtem or ERP for fur\u00adther pro\u00adces\u00adsing. All infor\u00adma\u00adti\u00adon neces\u00adsa\u00adry for order pro\u00adces\u00adsing, such as the indi\u00advi\u00addu\u00adal and struc\u00adtu\u00adred bill of mate\u00adri\u00adals (BOM), is included. If the con\u00adfi\u00adgu\u00adra\u00adti\u00adon out\u00adput alre\u00ada\u00addy con\u00adta\u00adins detail\u00aded work plans, the\u00adse are also han\u00added over to the neces\u00adsa\u00adry sys\u00adtems. With CREALIS\u00ae CPQ, manu\u00adal efforts in the quo\u00adta\u00adti\u00adon pro\u00adcess and order manage\u00adment can be lar\u00adge\u00adly eli\u00admi\u00adna\u00adted.<\/p>\n<\/div><\/div><\/div>

\"moderne<\/a><\/span><\/div><\/div><\/div><\/div><\/div>
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What Makes CREALIS\u00ae CPQ an Intel\u00adli\u00adgent Expert Sys\u00adtem?<\/h3><\/span>
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Despi\u00adte signi\u00adfi\u00adcant chal\u00adlenges in defi\u00adning arti\u00adfi\u00adci\u00adal intel\u00adli\u00adgence, the Euro\u00adpean Com\u00admis\u00adsi\u00adon\u2019s AI Watch has addres\u00adsed this issue by adop\u00adting a descrip\u00adti\u00adve approach. Based on exis\u00adting attempts at defi\u00adni\u00adti\u00adon in con\u00adtexts such as com\u00adpu\u00adter sci\u00adence, poli\u00adtics, or eco\u00adno\u00admics, the aut\u00adhors deve\u00adlo\u00adped an \u201cAI Taxo\u00adno\u00admy\u201d that iden\u00adti\u00adfies key terms to help deter\u00admi\u00adne whe\u00adther a par\u00adti\u00adcu\u00adlar tech\u00adno\u00adlo\u00adgy can be clas\u00adsi\u00adfied as AI. It should be noted, howe\u00adver, that the\u00adse are only key\u00adwords, and it is unli\u00adkely that any AI appli\u00adca\u00adti\u00adon satis\u00adfies all the\u00adse aspects.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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Euro\u00adpean AI Taxo\u00adno\u00admy: How CREALIS\u00ae CPQ meets the Cri\u00adte\u00adria<\/h3><\/span>
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ORISA can undoub\u00adted\u00adly be con\u00adside\u00adred a pio\u00adneer in this field, having work\u00aded on AI-rela\u00adted topics sin\u00adce the 1990s. The result is the powerful AI con\u00adfi\u00adgu\u00adra\u00adtor CREALIS\u00ae KI-CPQ, which uses object-ori\u00aden\u00adted and rule-based mode\u00adling to cap\u00adtu\u00adre pro\u00adduct know\u00adledge. The new\u00adly revi\u00adsed, CREALIS\u00ae-specific AI com\u00adpo\u00adnent is par\u00adti\u00adcu\u00adlar\u00adly effi\u00adci\u00adent in map\u00adping rela\u00adti\u00adonships bet\u00adween indi\u00advi\u00addu\u00adal com\u00adpon\u00adents, pro\u00adducts, or even enti\u00adre assem\u00adblies and pro\u00adduct groups. This ensu\u00adres a user-fri\u00adend\u00adly and main\u00adtainable con\u00adfi\u00adgu\u00adra\u00adtor. It allows a multi\u00adtu\u00adde of attri\u00adbu\u00adtes to be assi\u00adgned to each com\u00adpo\u00adnent, assem\u00adbly, or pro\u00adduct, which can then be inter\u00adre\u00adla\u00adted.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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Effi\u00adci\u00aden\u00adcy and error-free Quo\u00adte Gene\u00adra\u00adti\u00adon through AI<\/h3><\/span>
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The AI-dri\u00adven CREALIS\u00ae con\u00adfi\u00adgu\u00adra\u00adtor uses know\u00adledge-based and auto\u00adma\u00adted pro\u00adces\u00adses to assem\u00adble a pro\u00adduct step by step based on the com\u00adpon\u00adents\u2019 attri\u00adbu\u00adtes and manu\u00adfac\u00adtu\u00adra\u00adbi\u00adli\u00adty rules. For exam\u00adp\u00adle, this ensu\u00adres that when con\u00adfi\u00adgu\u00adring an indus\u00adtri\u00adal boi\u00adler, sel\u00adec\u00adting an appro\u00adpria\u00adte bur\u00adner is straight\u00adfor\u00adward, as the con\u00adfi\u00adgu\u00adra\u00adtor only offers bur\u00adners with matching attributes\u2014even if they are pro\u00addu\u00adced extern\u00adal\u00adly. The same appli\u00ades to sui\u00adta\u00adble micro\u00adscope len\u00adses, the right nozz\u00adles for cus\u00adtom car wash sys\u00adtems, appro\u00adpria\u00adte laser modu\u00adles for cut\u00adters, or any other ima\u00adgi\u00adnable pro\u00adduct your com\u00adpa\u00adny offers.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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Next-Gene\u00adra\u00adti\u00adon AI Com\u00adpon\u00adents \u2013 Fle\u00adxi\u00adbi\u00adli\u00adty and Pre\u00adcis\u00adi\u00adon<\/h3><\/span>
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The \u201cAI Taxo\u00adno\u00admy\u201d fun\u00adda\u00admen\u00adtal\u00adly distin\u00adgu\u00adis\u00adhes bet\u00adween the core of AI and its count\u00adless other aspects, appli\u00adca\u00adti\u00adons, and exten\u00adsi\u00adons, such as the ethics and phi\u00adlo\u00adso\u00adphy of AI or spe\u00adci\u00adfic use cases like robo\u00adtics. For the\u00adse fields, the under\u00adly\u00ading domains are iden\u00adti\u00adfied along with con\u00adcise key\u00adwords.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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Intel\u00adli\u00adgent Mode\u00adling and Auto\u00adma\u00adted Main\u00adten\u00adan\u00adce: The Future of Con\u00adfi\u00adgu\u00adra\u00adti\u00adon<\/h3><\/span>
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This approach of defi\u00adning attri\u00adbu\u00adtes and their rela\u00adti\u00adonships is signi\u00adfi\u00adcant\u00adly more fle\u00adxi\u00adble than purely rule-based sys\u00adtems or cons\u00adtraints. Unli\u00adke tra\u00addi\u00adtio\u00adnal solu\u00adti\u00adons, it allows for a wide varie\u00adty of pos\u00adsi\u00adble com\u00adbi\u00adna\u00adti\u00adons wit\u00adhout requi\u00adring each com\u00adbi\u00adna\u00adti\u00adon to be expli\u00adcit\u00adly defi\u00adned and pro\u00adgrammed. Thanks to this intel\u00adli\u00adgent soft\u00adware archi\u00adtec\u00adtu\u00adre, CREALIS\u00ae KI-CPQ enables high\u00adly com\u00adplex mode\u00adling with an enorm\u00adous ran\u00adge of pro\u00adducts and vari\u00adants. Every pos\u00adsi\u00adble pro\u00adduct struc\u00adtu\u00adre can be easi\u00adly repre\u00adsen\u00adted and mode\u00adled.<\/p>\n

The com\u00adple\u00adte rede\u00adsign of the CREALIS\u00ae-specific AI com\u00adpo\u00adnent also makes main\u00adten\u00adan\u00adce par\u00adti\u00adcu\u00adlar\u00adly easy: a new part or pro\u00adduct sim\u00adply needs to be assi\u00adgned the appro\u00adpria\u00adte attri\u00adbu\u00adtes to be auto\u00adma\u00adti\u00adcal\u00adly inte\u00adgra\u00adted into the con\u00adfi\u00adgu\u00adra\u00adti\u00adon model. This mini\u00admi\u00adzes effort, even with com\u00adplex and vari\u00adant-rich models, ensu\u00adring your AI-dri\u00adven con\u00adfi\u00adgu\u00adra\u00adtor remains up to date with mini\u00admal effort.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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The Future of Pro\u00adduct Con\u00adfi\u00adgu\u00adra\u00adti\u00adon with CREALIS\u00ae CPQ and Arti\u00adfi\u00adci\u00adal Intel\u00adli\u00adgence<\/h3><\/span>
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Cont\u00adact us to learn more about the powerful pos\u00adsi\u00adbi\u00adli\u00adties of AI-dri\u00adven CREALIS\u00ae CPQ and arti\u00adfi\u00adci\u00adal intel\u00adli\u00adgence. Our team of experts will be hap\u00adpy to assist you<\/a> with the imple\u00admen\u00adta\u00adti\u00adon and use<\/a> of inno\u00adva\u00adti\u00adve AI tech\u00adno\u00adlo\u00adgies for your pro\u00adduct con\u00adfi\u00adgu\u00adra\u00adti\u00adon.<\/p>\n

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