Retail

Voice AI Agents for Retail

Voice AI Agents for retail, built around the constraint that defines the sector: store-level data is noisy and channels are usually not integrated.

Regulations in scope
4
Systems we integrate
5
Typical first release
6 weeks

What changes when it is retail

People interrupt. They change their mind mid-sentence, they talk over the prompt, they switch from Hindi to English and back. A voice agent that cannot handle barge-in is a menu tree with a nicer voice.

In retail, store-level data is noisy and channels are usually not integrated. That single fact reshapes how voice ai agents has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is planogram compliance checking, usually integrated against POS. Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners.

Multi-model by default, so a provider outage is a routing decision rather than an incident. We hand over with runbooks, tests and a team that knows how it works, not a dependency.

The sector constraints we design around

Defining constraint
store-level data is noisy and channels are usually not integrated
Regulations in scope
consumer protection rules · GST compliance · DPDP Act 2023 · labelling and weights standards
Systems of record
POS · inventory management · ERP · CRM · e-commerce platforms
Where we usually start
demand forecasting by store and SKU

Voice AI Agents workloads in retail

  • demand forecasting by store and SKU
  • planogram compliance checking
  • customer service automation
  • markdown optimisation
  • shrinkage detection

What is included

  • Telephony integration with your existing numbers
  • Indian-language speech recognition and synthesis
  • Sub-second turn latency with barge-in support
  • Live transfer to a human with context
  • Call recording, transcription and QA scoring
  • Compliance with calling and consent regulations

Questions from this sector

Our store data is messy.

Universally true, and the data audit is the first work package. Stockouts unrecorded as zero sales are the single most common distortion in retail forecasting.

Can it work across online and offline?

Yes, and unified demand across channels is usually where the largest gains sit. Most retailers forecast them separately and lose accuracy to it.

Which Indian languages are supported?

Hindi, Tamil, Telugu, Kannada, Malayalam, Marathi, Bengali, Gujarati and Punjabi among others, including code-mixed English. We test on recordings of your real callers, not studio audio.

How fast does it respond?

We target sub-second turn latency end to end, with barge-in so callers can interrupt naturally. Anything slower and callers assume the call has dropped.

Can it transfer to a human?

Yes, warm transfer with the transcript and caller context handed over, so the agent does not ask the customer to repeat themselves.

Voice AI Agents for retail, worth a conversation?

Tell us the workload and the regulation it sits under. We will tell you what is realistic.

Or email bd@dtrasglobal.com · call +91 74118 77878