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A i icial In elligence in Tou ism Business Adminis a ion: A Regional
Pe spec i e on No h Maha ash a
D . Ni in Balasaheb Sal e
Ass . P o esso , Depa men o Comme ce,C.D. Jain College o Comme ce, Sh i ampu ,
Sa i ibai Phule Pune Uni e si y, Pune)
Email: ni inbsal e2[email p o ec ed]
Manusc ip ID:
JRD -2025(I)-170948
ISSN: 2230-9578
Volume 17
Issue 9(I)|
Pp. 217-220
Sep . 2025
Submi ed: 9 Aug. 2025
Re ised: 20 Aug. 2025
Accep ed: 20 Sep . 2025
Published: 30 Sep . 2025
Abs ac
A i icial In elligence (AI) is eshaping ou ism business adminis a ion in No h Maha ash a, a
egion known o pilg image cen e s (Shi di, T imbakeshwa ), he i age si es (Ajan a-Ello a Ca es), wine
ou ism (Nashik), and eco- ou ism (Sapu a a, Malshej Gha s). AI ools—cha bo s, p edic i e analy ics,
ecommenda ion engines, compu e ision, and gene a i e AI—a e enabling local ou ism businesses
(ho els, anspo ope a o s, a el agen s, and online pla o ms) o enhance pe sonaliza ion, op imize
e enue, and imp o e se ice e iciency. D awing on ecen epo s (2023–2025) and egional indus y
insigh s, his pape in eg a es ma ke e idence wi h con ex ual illus a ions om No h Maha ash a. I
demons a es e enue and cos impac s o ho els in Shi di, wine ou ism ope a o s in Nashik, and a el
se ices in Ajan a-Ello a. The s udy concludes wi h a go e nance oadmap ha aligns AI adop ion wi h
cus ome expe ience, sus ainabili y, and ESG p io i ies ele an o egional ou ism g ow h.
Keywo ds: No h Maha ash a, ou ism, hospi ali y, a i icial in elligence, business adminis a ion,
e enue managemen , pilg image ou ism, wine ou ism, ESG
In oduc ion
Tou ism in No h Maha ash a is cha ac e ized by di e se segmen s: pilg image
(Shi di, T imbakeshwa ), cul u al-he i age (Ajan a-Ello a), leisu e (Sapu a a, Malshej Gha s),
and niche wine ou ism (Nashik). Pos -pandemic, domes ic and in e na ional a i als in Shi di
and Ajan a ha e su passed 2019 le els (Maha ash a Tou ism De elopmen Co po a ion, 2025).
To manage ising demand and isi o expec a ions, s akeholde s—ho els, ai lines ( o
Shi di/Nashik), and local a el agencies—a e deploying AI solu ions o imp o e bookings,
cus ome ca e, and esou ce op imiza ion.
Objec i es o he S udy
1. To map AI use cases ac oss he ou ism ecosys em o No h Maha ash a, including
pilg image ou ism, wine ou ism, he i age si es, and eco- ou ism.
2. To analyze e enue and se ice impac s o AI adop ion using nume ical illus a ions d awn
om ho els, OTAs, wine ies, and he i age si e managemen .
3. To compile and syn hesize ma ke e idence (global, na ional, and egional) ha e lec s AI
adop ion ends ele an o No h Maha ash a ou ism.
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Add ess o co espondence:
D . Ni in Balasaheb Sal e, Ass . P o esso , Depa men o Comme ce,C.D. Jain College o
Comme ce, Sh i ampu
How o ci e his a icle:
N. B. Sal e. (2025). A i icial In elligence in Tou ism Business Adminis a ion: A Regional
Pe spec i e on No h Maha ash a.Jou nal o Resea ch & De elopmen , ,17(9(I)), 217-220
O iginal A icle
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4. To de elop a go e nance amewo k add essing esponsible AI p ac ices, e hics, da a managemen , and cul u al
sensi i i ies in he egional ou ism con ex .
5. To p opose a p ac ical oadmap o AI adop ion, ailo ed o he needs o SMEs, des ina ion manage s, and ou ism
au ho i ies in No h Maha ash a.
Resea ch Me hodology
This s udy employs a desc ip i e and explo a o y esea ch design o analyze he ole o A i icial
In elligence in No h Maha ash a’s ou ism business adminis a ion.
Resea ch Design:
o Explo a o y: o iden i y eme ging AI applica ions in egional ou ism.
o Desc ip i e: o documen e enue, se ice, and e iciency impac s.
Da a Sou ces:
o Seconda y Da a: Repo s om MTDC (2024–2025), UN Tou ism (2024–2025), NASSCOM (2025), indus y
esea ch i ms (Ma ke sandMa ke s, G and View Resea ch, TBRC), and pee - e iewed jou nals.
o Regional Da a: Tou ism oo all s a is ics o Shi di, Ajan a-Ello a, and Nashik ineya ds (MTDC & Minis y o
Tou ism, 2025).
o Case-based Illus a ions: Hypo he ical nume ical models o Shi di ho els, Nashik wine ies, and Ajan a isi o
lows, alida ed agains indus y a e ages.
Analy ical Tools:
o Compa a i e ma ke ables o syn hesize global and egional AI p ojec ions.
o Nume ical e enue models o es ima e upli om AI adop ion (ho el Re PAR, OTA con e sion, isi o ime-
sa ings).
o Concep ual amewo k mapping AI adop ion ac oss he ou ism alue chain.
Scope and Limi a ions:
o Focus es ic ed o No h Maha ash a (Nashik, Jalgaon, Dhule, Nandu ba ).
o Illus a ions a e scena io-based using indus y benchma ks, no p ima y ield su eys.
o Resul s a e indica i e, in ended o guide ou ism manage s and policymake s.
Ma ke E idence and T ends
While global AI in ou ism is p ojec ed o each USD 13–14 billion by 2030 (G and View Resea ch, 2025),
Maha ash a Tou ism De elopmen Co po a ion (MTDC, 2025) has ea ma ked ₹500 c o e o digi al ou ism
in as uc u e, including AI-d i en isi o managemen .
Table 1. AI in Tou ism—Global s. No h Maha ash a Con ex
Le el
2024 Ma ke Size
2025 Es ima e
2030 P ojec ion
CAGR/No es
Global (G and View,
2025)
USD 3.37 bn
USD 4.26 bn
USD 13.87 bn
26.7%
India (NASSCOM, 2025
es .)
USD 0.42 bn
USD 0.56 bn
USD 2.0 bn
~29%
No h Maha ash a
(MTDC)
~₹150 c o e
~₹200 c o e
~₹650 c o e
D i en by pilg image &
wine ou ism AI adop ion
Concep ual Model: AI Ac oss he Regional Value Chain
• A ac (Ma ke ing): AI-gene a ed campaigns o Shi di pilg image packages, wine ails, eco- ou s.
• Con e (Booking): Dynamic p icing in Shi di ho els, ineya d eso s, and Ajan a ou s.
• Se e (On- ip): Cha bo s o da shan upda es, queue analy ics in Ajan a, AI ansla ion o o eign ou is s.
• Engage & Re ain (Pos - ip): Sen imen analysis o Shi di pilg image eedback, loyal y p og ams o wine
ou ism.
• Adminis e (Back-o ice): Re enue o ecas ing, wo k o ce scheduling in seasonal ou ism, ESG epo ing o
he i age conse a ion.
Me hods o Manage ial Assessmen
Tou ism SMEs in Jalgaon, Dhule, and Nashik can assess AI oppo uni ies by:
1. F aming p oblems (e.g., educing c owd wai ime in Shi di, op imizing Nashik es i al bookings).
Jou nal o Resea ch and De elopmen
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2. Audi ing da a ( isi o oo alls, booking pla o ms, POS da a in wine ies).
3. Running A/B pilo s (AI cha bo s. manual booking).
4. Embedding human o e sigh (AI + local p ies s’ inpu in Shi di da shan upda es).
5. T acking KPIs (occupancy, se ice ime, NPS, ene gy consump ion).
Nume ical Illus a ions
1 Shi di Ho el Re enue Upli
A 100- oom Shi di ho el (75% occupancy; ADR ₹4,500) adop s AI-based dynamic p icing du ing Ram
Na ami es i al.
• Baseline ooms sold: 100×30×0.75 = 2,250
• Baseline e enue: 2,250×₹4,500 = ₹10,125,000
• Pos -AI (occupancy 80%, ADR ₹4,800): 100×30×0.80×₹4,800 = ₹11,520,000
• Mon hly upli = ₹1,395,000 (+13.8%)
• A e AI SaaS cos s (~₹200,000/mon h), ne gain = ₹1,195,000.
2 Nashik Wine Tou ism Package Pe sonaliza ion
An OTA es s AI i ine a y assis an o 50,000 wine ou is s. Con e sion imp o es by 0.5 pp, AOV +₹1,000.
• Inc emen al bookings: 250
• Inc emen al GMV: 50,000×0.005×₹1,000 = ₹25,000,000
• Wi h 12% commission, e enue = ₹3,000,000.
3 Ajan a-Ello a Queue Analy ics
AI compu e ision educes a e age wai ime om 90 min o 65 min o 20,000 mon hly isi o s.
• Sa ed ou is hou s = 20,000×25/60 = 8,333 hou s
• Valued a ₹300/hou willingness o pay, o al ime alue = ₹2.5 c o e/mon h.
Implemen a ion Playbook (Regional Use Cases)
Table 2. AI Use Cases in No h Maha ash a Tou ism
Func ion
Use Case
Local Applica ion
Ou pu s
KPIs
Ma ke ing
Campaign
op imiza ion
Shi di es i als,
SulaFes ads
ROI upli
ROAS, CAC
Booking
Dynamic p icing
Shi di ho els,
Nashik eso s
Room/package
a es
ADR, Re PAR
Se ice
Cha bo s
Pilg image Q&A,
da shan imings
Fas e esponses
CSAT, AHT
Ope a ions
Queue analy ics
Ajan a-Ello a ca es
Visi o low ale s
Wai ime
ESG
Ene gy
op imiza ion
Ho els in
Nashik/Shi di
HVAC se -poin s
kWh/ oom
Discussion
AI adop ion in No h Maha ash a enhances bo h e enue e iciency (Shi di ho els, Nashik wine ies) and
isi o expe ience (Ajan a-Ello a queues, mul ilingual cha bo s). Howe e , challenges include da a agmen a ion,
digi al eadiness o SMEs, and e hical sensi i i ies in eligious ou ism. Sha ed pla o ms by MTDC, aining
p og ams o local ope a o s, and e hical AI amewo ks a e essen ial o equi able adop ion.
Conclusion
AI ep esen s a ans o ma i e o ce o No h Maha ash a’s ou ism ecosys em. Shi di ho els, Nashik wine
ou ism, and he i age si es like Ajan a-Ello a can bene i h ough e enue op imiza ion, pe sonaliza ion, and imp o ed
isi o managemen . Manage s should s a wi h low- isk pilo s, build egional da a in as uc u e, and ensu e
esponsible AI go e nance sensi i e o cul u al con ex s. Fu u e esea ch should explo e long- e m impac s on
pilg im sa is ac ion, SME compe i i eness, and sus ainabili y ou comes.
Re e ences
1. Maha ash a Tou ism De elopmen Co po a ion. (2025).
2. Minis y o Tou ism, Go e nmen o India. (2025)
3. The Business Resea ch Company. (2025). AI in hospi ali y and ou ism—Global ma ke epo .
Jou nal o Resea ch and De elopmen
Pee Re iewed In e na ional, Open Access Jou nal.
ISSN : 2230-9578 | Websi e: h ps://j d b.o g Volume-17, Issue-9(I) | Sep - 2025
220
4. Aue , I., Thiele, L., & Söllne , M. (2024). Cha bo s in ai po cus ome se ice—Explo ing use cases and c i ical
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