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Admission season in Kottayam means phones that never stop; a chatbot that knows your prospectus answers the routine questions so your staff can handle the real ones.
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Photo: Rison Thumboor · CC BY-SA 4.0, cropped · via Wikimedia Commons
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Yes. It can run on WhatsApp through the official business API, on your website, or inside your app, using the same knowledge and rules. For most Kottayam institutions WhatsApp is where enquiries already arrive, so it is usually the first channel.
It is restricted to your approved content and told to say it does not know when that is the case. Unclear or sensitive questions go to a person. Conversations are logged, and weak replies are corrected in the source material during regular reviews.
Yes. People commonly type Malayalam in English script or mix the two languages in one sentence. Modern language models handle this well, and we test with real messages from your own enquiry history before launch.
After a first conversation about the channel, the questions customers ask and the data the bot must read, we agree the scope and send you a written quotation. The price, the deliverables and the timeline are fixed against that scope before any work starts, so nothing grows without your sign-off.
You speak to someone who does this work, not a call centre. They ask about the channel, the questions customers ask most and where the answers live today. If it looks like a fit, we agree the scope and put it in writing, with the timeline, before any work starts. If it does not, we tell you.
Every May and June, college and school offices across Kottayam, from the campuses around Athirampuzha to the coaching centres of Pala, answer the same enquiries about courses, fees, hostels and last dates. Hospitals face the same pattern with doctor timings, dealerships with variants and service bookings, and cooperative banks with interest rates and loan eligibility. The answers exist. The staff time to repeat them does not.
We build chatbots for websites, WhatsApp and mobile apps that answer from your own documents and data, in Malayalam and English. They can look up live information, such as a fee balance or a service status, from ERPNext or another system, collect an enquiry with the details your team needs, and pass the chat to a person when the question is sensitive or unclear. Every conversation is logged for review.

Case studies

Dumas Bakes N Meals Private Limited
Dumas Bakes N Meals — ERPNext Lifted On-Time Deliveries by Over 40%

Indus Motor Company Private Limited
Indus Motor — ERPNext Cut Stock-Outs 40% Across Showrooms

MultiWealth Capital
MultiWealth Capital — ERPNext Cut Loan Processing Time by 60%
A parent abroad or a working customer often writes at night, when nobody is at the desk. By morning the enquiry has gone elsewhere. A chatbot replies at once, captures name, need and number, and places the lead in your CRM for follow-up.
A front desk in Kottayam town may spend most of the morning giving out timings and fee details. When a bot handles those, the same people have time for counselling, complaints and the conversations that decide an admission or a sale.
Two clerks may quote two different last dates or interest rates. A chatbot answers only from the approved document, and when the circular changes, the answer changes everywhere at the same moment.
An example
A residential coaching centre in Pala closes its office in the evening, but the WhatsApp bot stays on. A father working in Doha asks, in Malayalam typed with English letters, whether the repeater batch has hostel places and how the fee instalments work. The bot answers from the approved prospectus, collects the student's name, stream and number, and notes that the family wants a call after prayers on Friday. A second parent asks about a scholarship rule the bot is not sure of; it says so and books a call with the counsellor. By morning the admissions desk sees both enquiries in the CRM, each with its transcript, and the counsellor rings the Doha number first. Nothing has waited for office hours.
We start by collecting the questions your staff actually receive, often by sitting at a front desk in Kottayam for a day and reading past message threads with your permission. The bot is built and tested in Kochi, reviewed with your team, and launched on one channel first. Logs are reviewed together in the early weeks to fix weak answers.
One channel, one job. For example support on your website, or lead capture on WhatsApp.
Ground it on your content. Your FAQs, policies and live data, with handover rules and tone set.
Pilot and measure. Deflection, captured leads and satisfaction against today's baseline.
Tune with people. Transcripts reviewed and gaps fixed until accuracy clears your bar.
Expand. More channels, languages and jobs once the first one pays off.
The scope and timeline are agreed in writing before work starts.
Education and healthcare
Course, fee and hostel questions answered from the prospectus, application status lookups, and for hospitals doctor schedules, appointment requests and directions, with handover to the front desk for anything clinical.
Automobile and machinery dealerships
Model and variant information, test-drive and service booking requests, service status by vehicle number, and enquiry capture that reaches the right branch in Kottayam, Changanassery or Pala.
Banking and cooperative finance
Deposit and loan scheme details, document checklists, branch timings and EMI due dates on request after verification, with strict limits on what account information is ever shown in a chat.
Mahatma Gandhi University, Athirampuzhainstitution
state university (1983) at Priyadarsini Hills, about 12 km from Kottayam station
The university's affiliated colleges across Kottayam field the same registration and exam-form questions every term; a college bot answering from circulars spares the office while the portal stays as it is.
Source: en.wikipedia.orgPala Municipalitylocal body
Pala's coaching and residential institutions draw students from across Kerala and the Gulf; their enquiries arrive at night and on WhatsApp, which is what a bot is for.
Source: kottayam.nic.inKottayam railway stationtransport
NSG-3 station on the Ernakulam-Kottayam-Kollam line; long-distance trains and a Sabarimala-season KSRTC link
In Sabarimala season, hotels and travel operators near the station answer the same timing and availability questions all day; a bot on WhatsApp handles those while staff handle guests.
Source: en.wikipedia.orgPlaces and organisations are named for local context only. Acube Innovations is not affiliated with or endorsed by them.
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