AI Operations Analytics Dashboard
Budget: ₹12,500 – ₹37,500 INR
I already capture every customer visit, outreach action, trial, follow-up and end-of-day summary in Google Forms; the data streams straight into Google Sheets, so my raw operational numbers are clean and structured. What I now need is a lightweight, AI-powered layer that sits on top of this existing flow and turns it into a living command centre.
Core analytics
• Anomaly detection that spots unexpected spikes, dips or missing data the moment they occur.
• Clear productivity-trend tracking so I can see who or which region is gaining or slipping over time.
• Planned-versus-actual work execution, highlighting delays in follow-ups or unvisited territories.
Dashboards & cadence
Daily and weekly insights are mission-critical for me, with roll-ups to monthly or longer periods handled automatically. The front-end should surface three views: Sales performance monitoring, Marketing activity tracking and an Overall business performance lens, all in one place with intuitive filters.
Ideal build
A small Python (or Apps Script) pipeline can pull the Google Sheets data, run the ML models—Scikit-learn, TensorFlow or similar—and push the results into Looker Studio / Power BI / Tableau. I’m flexible on the exact stack as long as it remains lightweight, cloud-friendly and easy for my team to maintain.
Deliverables
1. Automated data pipeline connected to my existing Google Sheets.
2. AI models for the analytics listed above, with parameter tuning I can adjust.
3. Interactive dashboards with drill-downs, trend lines and alert flags.
4. Email or Slack alerts for anomalies and overdue follow-ups.
5. Documentation and a brief hand-off session.
Acceptance criteria: all dashboards load in under five seconds with last-24-hour data, anomaly alerts trigger within 15 minutes of new form submissions, and non-technical users can adjust date ranges without assistance.
If you can transform my raw reports into an intelligent, real-time dashboard that helps me steer sales and marketing every single day, let’s get started.
Core analytics
• Anomaly detection that spots unexpected spikes, dips or missing data the moment they occur.
• Clear productivity-trend tracking so I can see who or which region is gaining or slipping over time.
• Planned-versus-actual work execution, highlighting delays in follow-ups or unvisited territories.
Dashboards & cadence
Daily and weekly insights are mission-critical for me, with roll-ups to monthly or longer periods handled automatically. The front-end should surface three views: Sales performance monitoring, Marketing activity tracking and an Overall business performance lens, all in one place with intuitive filters.
Ideal build
A small Python (or Apps Script) pipeline can pull the Google Sheets data, run the ML models—Scikit-learn, TensorFlow or similar—and push the results into Looker Studio / Power BI / Tableau. I’m flexible on the exact stack as long as it remains lightweight, cloud-friendly and easy for my team to maintain.
Deliverables
1. Automated data pipeline connected to my existing Google Sheets.
2. AI models for the analytics listed above, with parameter tuning I can adjust.
3. Interactive dashboards with drill-downs, trend lines and alert flags.
4. Email or Slack alerts for anomalies and overdue follow-ups.
5. Documentation and a brief hand-off session.
Acceptance criteria: all dashboards load in under five seconds with last-24-hour data, anomaly alerts trigger within 15 minutes of new form submissions, and non-technical users can adjust date ranges without assistance.
If you can transform my raw reports into an intelligent, real-time dashboard that helps me steer sales and marketing every single day, let’s get started.