AI Sales Agent That

An AI Sales Agent is an autonomous voice agent that calls retailers, holds a real sales conversation, takes the order, and writes it straight into your sales systems.
SCAI covers multiple jobs across the field playbook:

Inbound and outbound sales calls

Taking orders from retailers

24×7 expert assistance

Emailing retailers on promotions

Running mock calls with sales reps

Onboarding and coaching new joiners

Why it holds a conversation: SCAI runs as an agentic layer on the AI Native platform. A GenAI/LLM-ready data structure keeps product, pricing, and order data live in-memory, and a multi-LLM orchestration layer sits above it. This architecture delivers a first response in under a second and an order that lands in the same order engine a rep's order does — not in a transcript someone has to key in.

Yes. SCAI has been tested in live markets, not a lab. In real order-taking calls across India, Brazil, Mexico, and Indonesia, retailers held natural sales conversations with the agent and placed orders. The published human test result shows retailers did not distinguish the agent from a person.

What makes it work: Latency and recovery, not voice quality. Time to first response is under a second (vs. 5–7 seconds for comparable systems). The agent handles interruptions without losing the thread — when a shopkeeper cuts in mid-sentence, it picks up exactly where it left off. Conversations feel human because the timing is human, and timing is a data architecture problem before it is a voice problem.

No. In practice, the deployment pattern is the opposite. SCAI covers the calls a rep cannot make:

Absent reps

Vacant territories

Stores below the frequency a beat can economically serve

Reorder conversations that consume a rep's day without needing their judgment

It runs against thousands of stores simultaneously — a feat no field force can match at any size.
How it makes reps better: Two of SCAI's capabilities point inward. It runs mock calls so reps practice against a realistic buyer before facing one. It onboards and coaches new joiners, cutting the time a new hire takes to become productive. The team keeps negotiation, relationships, and in-store execution, and gets a coach and a capacity buffer they did not have before.

Absenteeism is a daily revenue leak — when a rep is out, the beat goes uncovered and the orders simply do not happen. SCAI covers it the same day, calling the stores on that route and taking orders by voice, so the revenue lands rather than disappearing. The same applies to vacant positions during a hiring gap, where a territory can otherwise go dark for weeks.

Why orders are identical: The agent is not a separate system with its own customer list. It reads the same outlet history, pricing, schemes, and recommendations that the rep's app reads, from one data spine. A store gets the same personalized basket it would have got from the rep who was meant to visit. An order placed by the agent is identical in the system to one placed by a person.

Three steps, roughly three minutes to a working agent taking a real order: describe your business, add the products you want to sell, and place a test call. There is a self-serve path with free starting credits, so you can hear the agent handle your own products before any commercial conversation.

That speed is the product working as designed, not a demo shortcut. Full production deployment across a real retailer base then depends on scope, language coverage, and system integration.