Platform capabilities
Features designed for high-performing Telegram commerce teams
Coordinate buying journeys, support operations, and campaign execution with role-aware controls and measurable outcomes.
99.95%
Average platform uptime over the last 12 months
4.8/5
Average implementation score from retail ops teams
36%
Median reduction in manual support handling time
Workflow automation
Build structured journeys that guide shoppers and keep conversations moving toward conversion.
- Intent routing for sales, support, and returns
- Conversation playbooks by business objective
- Escalation safeguards for sensitive requests
Catalog and promotions
Keep product and offer data synchronized so bot replies stay accurate during launches and peak demand.
- Catalog updates with approval checks
- Promotion scheduling with expiration controls
- Performance tracking by campaign and intent
Trust proofs teams can verify
Security-by-default controls
Role-based access, audit logs, and approval flows keep sensitive promotions and pricing changes accountable.
Operational transparency
Teams monitor bot conversations, response speed, and escalation rates from a shared operational console.
Verified deployment process
Every rollout follows a documented checklist with sign-off checkpoints for marketing and support leads.
Frequently asked questions
How quickly can we launch a production bot?
Most teams launch their first production workflow in less than two weeks using guided setup and prebuilt conversation flows.
Can non-technical teams update promotions?
Yes. Marketing and support teams can update offers and product highlights through governed forms without code changes.
What happens when confidence is low?
Low-confidence conversations trigger human handoff routes so agents can resolve issues before customer satisfaction drops.
Is this compatible with existing CRM workflows?
Shop Assistant supports export and webhook-based integration patterns to keep CRM and analytics tools in sync.
Explore related buying paths
Pricing options
Match feature depth to your support and merchandising goals.
Customer outcomes
See measurable examples of feature adoption.
Fashion use case
Review a fashion-specific deployment blueprint.
Grocery use case
Learn how high-frequency support flows are automated.