SSmart Automation
← Back to home

AI data analysis and automated reporting

Everyone has data; few have conclusions. While an analyst spends a week assembling a report from five systems, the decision has already been made blindly. AI gathers the data itself, builds the reports and highlights what deserves your attention.

Sound familiar?

  • Reports are assembled by hand from CRM, ERP, ad accounts and spreadsheets
  • By the time a report is ready, the data is already stale
  • Anomalies — falling sales, rising returns — are noticed too late
  • The whole company depends on the one person who "knows how to export"

How AI solves it

  1. 01

    We set up automated data collection from all your systems into a single store.

  2. 02

    AI builds live dashboards: sales, funnel, margins, ad performance.

  3. 03

    The system spots anomalies itself and sends a Telegram alert while the problem is still small.

  4. 04

    It answers questions about your data in plain language: "show me March sales by manager".

Concrete scenarios

The morning digest

Yesterday's key numbers — in Telegram by the start of the workday.

One dashboard

Sales, ads and inventory from different systems — on one screen, always current.

Anomaly alerts

A conversion drop or a returns spike — a notification the day it happens.

Questions in plain language

"Show May revenue by location" — an answer in seconds, no analyst needed.

How the system works

  1. 1

    Sources connected

    CRM, ERP, ad accounts, spreadsheets

  2. 2

    Collected into a store

    automatically, on schedule

  3. 3

    Dashboards

    live data, not "last month's report"

  4. 4

    AI monitoring

    anomalies, trends, forecasts

  5. 5

    Delivery

    Telegram, email, your BI tool

Input and output

What we need from you

  • Access to the sources: CRM, ERP, ad accounts, spreadsheets
  • The list of key metrics and thresholds

What you get

  • Live dashboards across the business
  • Regular digests and alerts in Telegram or email
  • Answers to ad-hoc questions about your data

What we integrate with

  • ERP
  • Bitrix24
  • amoCRM
  • Google Analytics
  • ad accounts
  • Google Sheets / Excel
  • Power BI
  • Telegram

Results

  • An up-to-date picture of the business at any moment, not once a month
  • Reports in minutes instead of days of manual work
  • Problems visible the day they appear
  • Decisions based on data, not gut feeling

Case study

A retail chain: the owner saw the numbers once a month in Excel and learned about problems weeks late.

We gathered POS, ERP and ad-account data into a single store, set up live dashboards and AI monitoring with Telegram alerts, plus a morning digest per location.

  • A real-time picture of the business instead of a monthly one
  • Underperforming locations visible the day they deviate
  • Meetings run on the same numbers, not competing exports

Pricing and timelines

We don't publish a price list: the range of tasks is too wide for one honest number. Instead — a transparent model:

  1. 01

    Consultation — free

    30 minutes: we walk through the process, estimate the economics and scope the first phase.

  2. 02

    Estimate and plan

    Scope, timeline and cost fixed before the start — no hidden items.

  3. 03

    Prepayment to start

    A fixed advance covers tooling and environment setup. Infrastructure costs (server, APIs) are billed separately when your solution needs them.

  4. 04

    Final payment on delivery

    The closing payment comes after the agreed scope is delivered.

Guaranteed: the first working phase ships 2 weeks after the start. The rest follows a plan fixed in advance.

Cloud or your perimeter

Cloud deployment

Fast start: models via cloud APIs, the system on our or your VPS. Fits when perimeter requirements are standard.

On-premise deployment

Models and data fully inside your perimeter — on your hardware or a dedicated server. For healthcare, finance and anyone whose data can't leave.

Hybrid

Sensitive data is processed locally, the rest in the cloud. A balance of cost and requirements.

Risks and limitations

  • Analytics quality is capped by data quality: if the CRM is chaotic, step one is bringing the data in order — valuable in itself.
  • Some sources (banks, marketplaces) restrict access via their APIs — the list is agreed during the audit.
  • AI answers to ad-hoc questions are always verifiable: each answer comes with the underlying calculation or data slice.

Common questions about this task

How is this different from "just Power BI"?

BI shows what was configured once. The AI layer on top notices deviations itself, answers ad-hoc questions and writes digests in plain language.

Our data is scattered and messy

That's the normal starting point: the first phase almost always includes collection and cleaning. Order in the data is a standalone win.

Who will see our numbers?

Only you: the data store is deployed on your server or a dedicated VPS, and you control access. We sign an NDA.

Want the same result?

Send a request — in 30 minutes we'll analyze your process and tell you how much time and money automation will save.

Free consultation