Build, deploy and manage AI agents that advise shoppers and act in your commerce stack, so the conversation that starts on an ad finishes as a cart, a store visit, a delivered order and a customer who comes back.
Book a demoZigment is the agentic orchestration layer that D2C and retail brands use to build, deploy and manage AI agents. Those agents advise shoppers and execute commerce workflows across sales, onboarding, service and retention, with shared customer context across every channel, your catalogue and your commerce stack. Your Shopify, your CRM, your logistics and your ad stack stay exactly where they are. Powered by the Conversation Graph.
DecorpotFlipspacesDecorpotFlipspacesDecorpotFlipspacesDecorpotFlipspacesDecorpotFlipspacesA bot here, a voice provider there, marketing in another tool, and people updating the CRM and tickets by hand.
Agent output is constrained to your approved catalogue, pricing and policy content, and every message and escalation is logged. Deployed where you need it: Zigment cloud, your own cloud, or your data centre.
Not a slice of the funnel. Sales, onboarding, service and retention, on the channel your customer already uses, with the context from one stage carried into the next.
Your Meta and Google ads open a WhatsApp conversation instead of a landing page.Your Meta and Google ads open a WhatsApp conversation instead of a landing page.
The same agent on your website, your WhatsApp icon, Instagram and Facebook, answering with the live catalogue rather than an FAQ.When the web session closes the thread continues on WhatsApp instead of ending.
Shoppers who go quiet get nudged on a cadence you set, with RCS and SMS as fallback where WhatsApp does not deliver.When they reply, the agent picks up where the conversation stopped.
SKUs, attributes, inventory and prices read live from your commerce platform, with recommendations by budget, occasion, material and style.The shopper sees real products at real prices, not a brochure.
The shopper searches the way they would ask a person in a store, rather than working a filter panel on a phone.“Show me rose gold rings under forty.”
Occasion, category, budget band, city, preferred store and whether they want to buy online or see it in person.Junk filtered, every lead tagged and dispositioned before it reaches a human.
The agent builds the cart and sends a checkout link carrying the UTM, so the order attributes to the conversation rather than disappearing into direct traffic.The agent builds the cart and sends a checkout link carrying the UTM.
Pincode in, nearest store and address out, appointment booked without leaving the thread.Pincode in, nearest store and address out.
Routed on what the shopper actually means rather than on keywords, tagged as priority, and handed to a human with the whole conversation attached.Handed to a human with the whole conversation attached.
Made-to-order status, repair status and shortlists answered in the same thread the order was placed in.Pulled live from your logistics layer.
Actioned through your CRM rather than logged as a ticket for someone to pick up tomorrow.The customer gets an answer, not a reference number.
Policy questions answered from your approved content, and service requests raised against your SLA with the right team notified.Policy questions answered from your approved content.
The difference from a blast is that the customer can answer, and the agent picks it up with their history.The customer can answer, and the agent picks it up with their history.
Reaches lapsed buyers with a message built from what they actually bought, not a generic win-back offer that reads like it was sent to everyone.Reaches lapsed buyers with a message built from what they actually bought.
The agent knows what they own, when they bought it and for which occasion, and opens on that rather than on whatever is being promoted this week.The agent knows what they own, when they bought it and for which occasion.
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Bluestone22×return on ad spend
Within eight hours of an enquiry, a jewellery shopper is already looking at three other brands. Bluestone put a specialist in the chat with the catalogue in hand, and stopped losing them to the wait.
2.4×lower cost per qualified lead
One customer record across WhatsApp, web chat, social, your catalogue and your commerce stack. Every message, intent and event on one timeline, so the agent in October opens with what the shopper wanted in March.
You already have the leads. What you have not had is proof of what happened to them. Review any transcript, trace any recommendation back to the catalogue record behind it, and follow a shopper from ad click through to the purchase, online or in store.
Store purchase · sent to Meta through the Conversions API
Walk-in sale · matched to the Google click ID
price not in approved catalogue · routed to a consultant71Walk-in and store purchase outcomes join the conversation record and push back to Meta through the Conversions API and to Google through the click ID. Ad click to in-store sale, attributed.
Against your QA rubric, not the one or two percent a team can listen to by hand.
New flows, new campaigns and new product content added in the studio and deployed when you are ready.
Nothing is replaced. The agents read from and write back to the systems your teams already work in, on the channels your shoppers already use.
Salesforce
HubSpot
ZohoFreshworks
Razorpay
Meta CAPI
Google click IDGoogle AnalyticsBigQueryPower BI