E-commerce / D2C retail
Connect retail data, build five dashboards, and ask revenue, marketing, and support questions — modeled on a D2C brand like ShopNova.
5 to build
Dashboard + chat
Leadership, Marketing
Vizkraft — E-commerce / D2C retail
Works with
Pick whichever connector your team already uses.
What it does
Turns scattered retail data — orders, campaigns, web events, inventory, and support — into executive, marketing, and CX dashboards you can explore in natural language. Built for D2C teams who need revenue, ROAS, and funnel answers without waiting on SQL.
How it works
- 1
Connect your database
Add a PostgreSQL or MongoDB connector and index the tables that power revenue, campaigns, and customer activity.
- 2
Mark the tables that matter
Flag orders, campaigns, web events, customers, support tickets, and inventory during indexing so Vizkraft prioritizes the right schema.
- 3
Ask your first question
Try something like "What is total revenue year to date by region?" and save charts you want to keep.
- 4
Build the five dashboards
Assemble executive overview, campaign performance, marketing funnel, support & CX, and inventory views from saved charts.
Dashboards to build
Executive overview
Revenue, orders, and conversion KPIs at a glance.
Campaign performance
Spend, ROAS, and channel mix by campaign.
Marketing funnel
Sessions to purchase with drop-off by step.
Support & CX
Ticket volume, CSAT, and resolution trends.
Inventory & fulfillment
Stock health and movement by warehouse.
Questions to try
- “What is total revenue year to date by region?”
- “Compare conversion rate by campaign for the last 90 days.”
- “Show support ticket volume by priority this month.”
Setup
- Connect PostgreSQL or MongoDB with read access to your retail schema.
- Index and mark orders, campaigns, web events, customers, support tickets, and inventory.
- Save charts from chat and add them to dashboards with filters or saved views.
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Stop waiting on engineering for reports.
Most of our customers were ops or CS leads who'd been blocked for weeks. They booked a demo, connected their database in 10 minutes, and never looked back.