Commerce
How it works
The workflow has the same shape across all four. A customer asks in a DM, someone qualifies and quotes, and someone follows up. The deal is a handful of facts (an order number, a budget and area, a party size and travel dates) that must stay attached to the chat so the next person can pick it up. Entergram records those facts as custom fields on the conversation, so the inbox filters to everything awaiting dispatch, every viewing this week or every unconfirmed hold, and internal comments let the next agent continue mid-thread without asking the customer to repeat themselves.
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Every team in the cluster also sends one message to a segment: a restock, a shipping delay, a new listing to matching buyers, pre-departure information to everyone travelling this week. Broadcasts go out from the real personal account the customer already knows, personalized per recipient with imported list columns as merge tags, and replies land back in the Entergram inbox against the record. Entergram runs on personal accounts, each behind its own proxy. It is not a bot.
Where they differ is who owns the account and which facts matter. E-commerce is a storefront queue: one shared account, several agents, and ownership on each chat so two agents never answer the same buyer. Dropshipping adds a supplier side, where chats carry unit cost, MOQ, lead time and reliability, and a late shipment escalates into an SLA ticket before buyers start chasing. Real estate runs the other way, with each agent on their own personal account, budget, area, type and viewing date as fields, and privacy controls so the agency can grant access without handing over the buyer list. Travel runs on long threads with many small changes, so destination, party size, dates and booking status sit on the chat, reminders fire before a hold expires, and the activity heatmap shows when travellers in other time zones actually message.
Underneath, all four use the same Telegram CRM workspace: one inbox that supports 100+ accounts filtered by account, messaging analytics on messages sent and received, response times and busiest hours and days, raw analytics data you can download for a report, and the MCP across every connected account for filling fields or triaging tickets. The use case changes which fields you create, not which product you run.