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Concept ProjectInteractive Demo

Business Intelligence · Analytics

Kriyexa Insights

An analytics dashboard that brings revenue, sales, acquisition and conversion into one view — with plain-language insights generated from whatever period you select.

Runs in your browser with fictional sample data.

Overview

01The business problem

Revenue sits in the store platform, acquisition in the ad accounts and targets in a spreadsheet. Monthly reports take days to assemble, different teams quote different numbers, and the reasons behind a change are rarely written down.

02The proposed solution

A single analytics layer with agreed metric definitions and an interactive dashboard. Filters by period and channel recalculate every chart, and an insights panel summarises what changed, where, and what to look at next.

Sample organisation in the demo: Halcyra Outdoor (fictional).

03Key features

What the demo does.

  • Revenue overview

    Revenue, orders, average order value and new customers, each compared with the previous period.

  • Monthly trends

    A revenue trend chart with the comparison period, and per-month details on hover.

  • Revenue by category

    Category contribution and growth, sorted so the biggest movers stand out.

  • Acquisition and funnel

    New customers by channel and a conversion funnel from visit to purchase.

  • Sales performance table

    Regional performance against target, sortable by any column.

  • Generated insights

    Sample AI-style summaries computed from the filtered data, clearly labelled as such.

04Technical approach

How it's engineered.

Technology stack

  • Next.js
  • TypeScript
  • SVG charting
  • dbt-style metric layer
  • PostgreSQL / BigQuery
  • LLM summaries

The production stack we would propose. The demo itself is built with Next.js, React and TypeScript and runs entirely in the browser.

  1. 01

    One metrics module

    All figures come from a single module that filters the dataset and derives every KPI, chart series and insight. Charts never compute their own numbers, so they can't disagree.

  2. 02

    Illustrative data

    The dataset is generated deterministically for a fictional retailer, so it looks realistic and stays stable between visits. It is labelled as demo data throughout.

  3. 03

    Production architecture

    Pipelines into a warehouse, a documented semantic layer, cached aggregate queries behind an API, and an LLM that writes summaries only from computed results — never from raw guesses.

Things to try in the demo

The demo is a working front end over prepared sample data. It is not connected to a live AI model or a production backend, and it doesn't collect any information.

Launch live demo
  1. 1Switch the period from 12 months to 3 months and watch every chart update
  2. 2Filter to the Online channel and read the generated insights
  3. 3Hover the revenue trend to compare months
  4. 4Sort the regional table by growth

Kriyexa Insights is a concept project built by Kriyexa to demonstrate capability, not a client engagement.

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