Every customer call answered instantly — in the customer's own language

For a jewellery retailer, the phone is the front door. But the overwhelming majority of inbound calls are the same handful of questions, repeated hundreds of times a day: "What is today's gold rate?" — asked constantly, and the answer changes every single morning. "Where is your nearest showroom?" — easy to get wrong with multiple stores in one city. "How does your savings scheme work?" — needing a consistent, accurate explanation every time. Plus timings, making charges, purity, exchange and buyback.

Three problems follow. Store staff are pulled away from high-value customers standing in front of them to answer repetitive calls. During festival seasons and after hours, call volumes spike and enquiries are simply missed. And customers expect to be spoken to in their own language — a generic English IVR feels distant in a business built on trust and relationships.

These calls are high in volume but low in complexity — exactly the profile automation handles best, provided the answers are always current, always accurate, and delivered in the language the customer actually speaks.

Most voice systems bolt a language on as an afterthought — romanised text, mispronounced numbers, a robotic accent customers hang up on. NexShift builds each language natively.

That means native speech, not transliteration: proper script, correct pronunciation, and currency spoken the way people actually say it. Code-mixing is handled — the English loan-words customers genuinely use (EMI, gram, offer, scheme) are understood mid-sentence. Speech recognition is tuned for the domain — carat, purity, making charges, place names and store localities. And the assistant can lead in the region's primary language and switch to the caller's preference.

Tamil was delivered as the primary language for the regional customer base, with Hindi, English, Telugu, Kannada, Malayalam, Marathi, Bengali and Gujarati available, and additional languages configurable to the retailer's customer mix.

The customer calls the retailer's existing number and is greeted in their language. The assistant understands the request — rate, showroom, scheme or FAQ — and fetches the answer from live, approved data sources. It responds conversationally, acknowledging the caller instantly while it looks up information, so there is never dead air. When a human is needed, it hands off cleanly or shares the right store contact. Every interaction is logged and transcribed for quality and insight.

Behind the scenes: domain-tuned speech recognition and natural speech synthesis; a curated knowledge base for FAQs and schemes; an automated daily job that refreshes gold and silver rates; and a smart store-locator that maps any locality to the nearest showroom. It integrates with existing telephony — no change to published store numbers.

Answers are grounded strictly in retailer-approved content — the assistant never invents information. The daily rate refresh is monitored; if data is unavailable, the assistant degrades gracefully and routes to staff. All calls are recorded and transcribed for quality assurance. Rates, store lists, schemes and FAQs stay configurable and in sync with the retailer's own information.

The natural extension is a conversational chatbot on WhatsApp and the retailer's website, sharing the same approved knowledge as the voice assistant. For customers enrolled in a savings or instalment scheme, it goes further — once the customer is securely verified, it delivers account-specific information: instalments paid and current balance, the amount and due date of a pending instalment with a payment link to settle on the spot, offers matched to their scheme and history, and proactive reminders before due dates.

Secure by design: personalised details are released only to the verified account holder, through a secure integration with the retailer's scheme system.