AI Sales Forecasting with Industry News
Budget: ₹600 – ₹1,500 INR
I have a live Excel workbook that captures each rep’s daily sales numbers. I now need an autonomous AI routine that can read that file, pull the most relevant industry news from the web in real time, and then combine both streams to deliver predictive insights I can act on immediately.
The core focus is predictive analysis: I want the model to show where the team is likely headed over the next days, weeks, and quarter, not just where we have been. Past-trend visualisations are welcome as context, but the primary deliverable is an accurate forecast that factors in breaking industry developments.
Speed matters—I’m looking to get this running ASAP, so please lean on proven tools. If you prefer Python, I’m happy with pandas, scikit-learn, Prophet, LangChain, or an equivalent stack. If you have a no-code or low-code alternative that still offers transparency and reproducibility, I’m open to it, provided the outputs can be inspected and exported.
Deliverables I need:
• A script or agent that automatically imports the Excel file (the structure is fixed).
• A web-scraping or API layer that gathers the latest industry news headlines and summaries and feeds them into the model.
• A forecasting module that outputs projected sales figures with confidence intervals, highlighting any shifts plausibly linked to the news data.
• Visual dashboards (embedded or separate) that compare historical performance, current trajectory, and forecast.
• Clear setup instructions so I can rerun or extend the model without you on call.
I’m ready to supply a sample dataset and preferred news sources on award. If you can turn around a robust MVP quickly and iterate fast, let’s get started.
The core focus is predictive analysis: I want the model to show where the team is likely headed over the next days, weeks, and quarter, not just where we have been. Past-trend visualisations are welcome as context, but the primary deliverable is an accurate forecast that factors in breaking industry developments.
Speed matters—I’m looking to get this running ASAP, so please lean on proven tools. If you prefer Python, I’m happy with pandas, scikit-learn, Prophet, LangChain, or an equivalent stack. If you have a no-code or low-code alternative that still offers transparency and reproducibility, I’m open to it, provided the outputs can be inspected and exported.
Deliverables I need:
• A script or agent that automatically imports the Excel file (the structure is fixed).
• A web-scraping or API layer that gathers the latest industry news headlines and summaries and feeds them into the model.
• A forecasting module that outputs projected sales figures with confidence intervals, highlighting any shifts plausibly linked to the news data.
• Visual dashboards (embedded or separate) that compare historical performance, current trajectory, and forecast.
• Clear setup instructions so I can rerun or extend the model without you on call.
I’m ready to supply a sample dataset and preferred news sources on award. If you can turn around a robust MVP quickly and iterate fast, let’s get started.