Pharma sales calls in India are spoken in Hinglish. Here is why translating them into English loses the deal, and what a good call summary should contain.
Hinglish call summary software transcribes a sales call in the language it was spoken, a mix of Hindi and English, and writes the summary in that same mix. For Indian pharma teams this keeps molecule names, rates and commitments exactly as the customer said them, instead of losing them in translation.
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.
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.
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.
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