Aivar puts governed AI agents to work across customer service, personalization, and order operations. Deployed inside your own cloud, audited at every step, and live in weeks.
Retail runs on speed, and speed runs on infrastructure that doesn't buckle at peak. Every order needs to be tracked, every question needs an answer in seconds, and every recommendation needs to feel personal. Aivar brings frontier AI models into production for customer service, merchandising, and personalization teams, built to hold up under Black Friday-level load.
Every accelerator deploys inside your own AWS account, so customer and order data never leaves your infrastructure.
From browse to delivery, each accelerator is tuned to the workflows that define your business.
Order status, delivery exceptions, and dispatch coordination, handled in real time at peak volumes.
Order, return, and product questions answered across chat, voice, and messaging, without the hold music.
Stock checks, catalog questions, and inventory exceptions resolved before they become a stockout.
Recommendations and offers tuned to each shopper, powered by models trained on your own catalog and behavior data.
Three accelerators, two foundations, one architecture built to survive an audit.
Handles order status, delivery updates, and customer service conversations across voice, chat, and in-app, in the languages your customers speak, with every interaction logged for review.
>> Conversational AI for order, delivery, and service conversations <<
Runs document- and rules-heavy processes such as returns processing, catalog updates, and inventory reconciliation end to end, with every decision traced back to the policy that produced it.
>> Governed automation for returns and fulfillment workflows <<
Trains and serves recommendation, visual search, and demand-forecasting models inside your own VPC, with full audit trails and cost visibility built in.
>> Infrastructure for recommendation and search models <<
A sample of the engagements we've shipped.
Automated quoting operations for a UAE ceramics studio serving hospitality and design clients, turning a multi-hour process into minutes.
Scaled critical, real-time customer messaging for banking, e-commerce, and government clients across India to millions of end consumers.
Migrated an Amazon product-listing platform to a generative AI architecture, delivering 80% faster listing generation and 70% higher accuracy for e-commerce sellers.
.svg)
No. Every Aivar accelerator deploys inside your own AWS account or VPC. Customer, order, and catalog data stay on your infrastructure throughout.
Yes. Convogent has been validated at 1,000+ concurrent sessions, and every accelerator is built to scale with your own infrastructure rather than a shared multi-tenant queue.
Most engagements move from discovery to a working proof of concept in one to two weeks, and into production within another six to eight, depending on integration scope. We build for production from day one rather than treating pilots as throwaway work.
General AI tools are built for generic productivity tasks. Aivar's accelerators are tuned to retail-specific workflows such as order servicing, returns, and personalization, deployed in your own cloud, and priced against the outcome delivered rather than tokens or seats.
.svg)
.svg)
.svg)
.svg)
