Retail & E-commerce

What we deliver

• Agentic AI connected into your order, returns, inventory and loyalty systems
• Pre-purchase product advisors grounded in your real catalogue and stock
• Post-purchase agents that handle tracking, returns and exchanges end to end
• Loyalty, retention and account management copilots
• Multilingual deployments with consistent brand voice across markets
• Operations-grade analytics on resolution, sentiment and recurring issue patterns

Why retail is different

Retail and e-commerce live or die on customer experience at scale, and most support systems can acknowledge a query quickly while still leaving the customer to do most of the actual work themselves, chasing order updates, repeating issues across channels, or abandoning the conversation entirely out of frustration.

We build agentic AI that goes meaningfully beyond chat support and connects directly into the systems that run the business: order management, returns and exchanges, inventory visibility, loyalty programmes, so the agent doesn't just answer a question, it acts on it.

Across the full customer lifecycle

The applications stretch across the full customer lifecycle.

Pre-purchase, agents act as a genuinely useful product advisor, grounded in your actual catalogue, stock levels and product detail, helping customers find what they need rather than running a generic keyword search dressed up as conversation.

Post-purchase, agents handle order tracking, returns processing and exchange requests directly within the relevant systems, resolving the majority of routine queries without a ticket ever reaching a human queue.

For loyalty and retention, agents can manage programme queries, personalised offers and account management conversationally, in a tone consistent with brand voice across every channel a customer reaches the business through.

Multilingual by design, consistent everywhere

Multilingual by design, our agents let retail brands operating across markets offer the same quality of services everywhere, rather than a strong experience in headquarters markets and a noticeably weaker one elsewhere.

And because every interaction generates structured data, an analytics layer tracks resolution rates, sentiment and recurring issue patterns in real time, giving operations and merchandising teams a live signal not just on support performance but on product and process problems surfacing through customer conversations before they show up in returns data weeks later.

A support layer that scales with demand

For retail brands managing volume that spikes seasonally, varies by market and never fully predicts itself, that means a support and engagement layer that scales with demand instead of straining against it, consistent everywhere, accurate always and increasingly, the first place a genuine customer insight shows up.