AI Email Inbox Agent for Logistics Company
A logistics company received 200+ emails daily: inquiries, confirmations, complaints. We built an agent that reads, classifies, and replies to 80% of emails automatically.
We remove the manual steps between your tools: a website lead lands in the CRM by itself, an order creates its own shipping label and receipt, the report assembles itself on Monday morning. Where a decision is needed, we add AI.
The first call and demo are free.
We find the repetitive steps, count the hours they eat and decide where to start.
Leads, orders, documents, reminders, data sync between systems.
CRM, website, Nova Poshta, Checkbox, payments, Google Sheets, 1C or BAS, any API.
Email classification, data extraction from documents, customer replies, quality control.
Dashboards in Looker or Google Sheets, Telegram alerts when something goes wrong.
We run n8n on your server: no operation limits and no data shared with third parties.
Four steps from the first call to launch. You accept each one separately.
You tell us what is done by hand. We show a similar workflow.
We draw the flow: where data comes from, where it goes, where a human check is needed.
Live in 1-2 weeks on real data, with hours saved measured.
We add processes one at a time, each with its own price and timeline.
A simple pipeline with two or three integrations costs less than an AI agent; projects with AI start from $800. We give an exact quote after the intro call and the process map.
We work in stages: each one has a clear scope and a visible result.
A logistics company received 200+ emails daily: inquiries, confirmations, complaints. We built an agent that reads, classifies, and replies to 80% of emails automatically.
A German medical equipment manufacturer could not scale their sales team. We built a personalized email sequence system with AI-generated copy tailored to each customer segment.
An outsourcing company wanted to generate leads via email without spamming. We built a system with automatic lead collection, personalized emails by industry and team size.
A micromobility rental platform was drowning in thousands of repetitive tickets. We deployed an AI agent that processes tickets, resolves standard questions, and escalates complex cases to operators.
The clinic was losing up to 30% of patients due to busy phone lines during peak hours. We deployed a voice AI agent that answers calls 24/7, books appointments, and sends SMS confirmations.
An online fashion store processed 400+ orders per day manually. We built an agent that automatically confirms orders, checks stock availability, updates statuses, and notifies customers.
A SaaS company was wasting manager time on unqualified leads. We deployed an AI bot that qualifies leads by 7 criteria, books demos, and passes hot leads to CRM with full context.
Make is faster for typical scenarios and needs no server. n8n is more flexible, can run on your own server and is cheaper at volume. We work with both and choose per task.
Usually leads from the website and messengers into the CRM, shipping labels and receipts, customer reminders, report assembly. That pays off within a week and shows whether to go further.
No. The workflows live in your n8n or Make, we hand over documentation and back them up to GitHub. You can maintain them yourself or with another contractor.
It depends on the number of systems. A simple pipeline costs less than an AI agent; projects with AI start from $800. The first call and demo are free.
Tell us about your process and we will get back to you within a few hours to set up a call and demo.