Why IndiaMART leads decay quickly

An IndiaMART buyer usually sends the same enquiry to several suppliers. The first supplier to respond sensibly often wins the conversation. If alerts go to one person's phone or email, response time depends on that person's day.

A simple process

1. Capture automatically. Connect the IndiaMART API so enquiries arrive in the CRM without copy and paste.
2. Tag the source. Keep "IndiaMART" as the lead source, so you can compare it with Meta, website and expo leads later.
3. Assign by rule. Allocate IndiaMART enquiries to specific reps or rotate between them, so every lead has an owner.
4. Set a follow-up. Every lead gets a date. Overdue follow-ups should be visible to the manager.
5. Log the call. Record and summarise the conversation so the next person knows what was promised.

Measure by source

After a month, ask three questions per source: how many leads, how many were reached, how many converted. IndiaMART often looks different from Meta or expo lists, and that tells you where to spend time.

How Allota AI helps

IndiaMART is one of five connected lead sources in the Lead Center, each with its own auto-assignment rule. Missed or stale leads can be moved to another rep with Leads Reassign, and every action is logged.

Why pharma calls are harder than ordinary dictation

Pharma conversations combine three difficulties. Speakers switch between Hindi and English mid-sentence. Product and molecule names (Rosuvastatin, Telmisartan, Pantoprazole) are English words pronounced in many accents. And phone calls are noisy, with two people sometimes talking at once.

What good transcription looks like

• Speaker labels, so you can see which lines belong to the representative and which to the customer.
• Product names spelled correctly most of the time.
• Numbers, quantities and rates preserved.
• No forced translation. Hindi stays Hindi, English stays English.

How to test accuracy yourself

1. Pick ten real calls: some clean, some noisy, some with many product names.
2. Run them through the tool you are evaluating.
3. Check three things only: were the molecules right, were the numbers right, and was the next step captured.
4. Judge on those three, not on whether every filler word was caught.

From transcript to action

A transcript is the raw material. The value comes when it becomes a short brief, a lead classification and a follow-up date. Allota AI produces all three on every call, and keeps the verbatim transcript underneath for audit. Read more about the AI Calls Summary module.

Privacy

Ask any vendor where audio is stored. With Allota AI the recording remains in your own Google Drive.

Recording is easy. Using the recordings is the hard part

Almost every Android phone and telephony provider can record calls. The real problem is what happens afterwards. Hundreds of audio files sit in folders named after dates, and nobody has time to listen to them. A managers' review turns into guesswork based on the three calls someone happened to open.

Five things to check

1. Is each recording linked to a lead?

A recording with no lead attached is hard to act on. The CRM should match the call to the customer and show it inside the lead's history.

2. Does it understand Hindi and Hinglish?

Many tools are tuned for English and produce poor transcripts for Indian sales calls. Test with your own recordings.

3. Where does the audio live?

Call audio is sensitive. Some systems copy every file to the vendor's servers. Allota AI works the other way: recordings stay in your own Google Drive and are processed in place, so no audio is stored on Allota servers.

4. Does it produce something a manager can read in a minute?

A summary, a lead classification and the next step. A transcript alone is still homework.

5. What happens to missed calls?

An unanswered inbound call is a lost enquiry unless someone follows up. A recovery queue with a ready WhatsApp message turns it back into a lead.

Legal and consent notes

Rules on recording calls and informing the other party vary, and you should take advice for your own situation. A good vendor will let you control what is recorded and who can listen.

How this fits Allota AI

Recordings sync from your connected Google Drive folder, each file is matched to the representative and day, and the AI Calls Summary screen shows the brief for each call. See Integrations for the Drive setup.

The problem with English-only call notes

A field representative in Jaipur does not say, "The customer has requested pricing for two cardiovascular molecules." The customer says, "Atorvastatin aur Rosuvastatin dono ke rate bataiye, agle hafte baith kar finalise karte hain." The commercial meaning sits in details: which molecules, whether the rate list should go on WhatsApp, and that a meeting is promised for next week.

Most call-recording tools either fail on this kind of speech or flatten it into stiff English. Both outcomes hurt. If the transcript is wrong, nobody trusts it. If it is translated, the manager reading it cannot tell what was actually promised.

What a useful pharma call summary contains

• Who and when. Representative, customer, direction (inbound or outbound), time and talk time.
• Commercial intent. Was a rate list requested? Was a monopoly district asked about? Was an order discussed?
• Molecules and division. Which products came up, and whether the enquiry is PCD franchise or third-party manufacturing.
• Next step. A follow-up date, a document to send, a meeting to confirm.
• A verbatim transcript underneath, so any disagreement about what was said can be settled by reading it.

Why keep the summary in Hinglish

Your reps and managers read and write Hinglish every day. A summary in the same language is faster to scan and does not introduce interpretation. "Rate list WhatsApp par bhejni hai" is clear to the whole team. A translated paraphrase adds a step where meaning can drift.

How Allota AI handles it

Allota AI transcribes each call in the language it was spoken, with no setting to switch per call, then produces one Executive Intelligence Brief with the summary, lead classification (Hot, Warm, Cold or Dead) and the verbatim transcript. You can see exactly how this looks on the AI Calls Summary page.

Checklist before you buy any call summary tool

1. Ask for a demo on a real Hinglish recording from your own team, not a clean English sample.
2. Check whether the summary keeps molecule names and numbers correctly.
3. Confirm where your call audio is stored and who can access it.
4. See whether the summary feeds lead classification and follow-ups, or is just a text file.