Hack 4: AI for Operations and Inventory Scaling

Tools: Gorgias ($60/mo) + Free Prophet Library in Python

Expansion: These tools automate customer service and forecasting for efficient ops.

• Gorgias: A customer service platform ($60/mo starter) that integrates with Amazon for ticketing. Setup: Connect Amazon account in Gorgias dashboard. AI features: Auto-respond to 80% queries (e.g., "Where's my order?") using bots. Forecast support volume: Use their analytics to predict BFCM spikes based on historical tickets. Benefits: Reduces response time, handles returns/FAQs automatically.
• Prophet Library in Python: Free from Facebook (Meta). For inventory forecasting: Install pip install prophet. Input historical sales data (from Amazon Reports > Inventory > Sales). Example script:

  from prophet import Prophet
  import pandas as pd
  df = pd.read_csv('sales.csv')  # Columns: ds (date), y (sales)
  m = Prophet()
  m.fit(df)
  future = m.make_future_dataframe(periods=90)
  forecast = m.predict(future)
  print(forecast[['ds', 'yhat']])

  Accounts for seasonality, holidays. Integrate with AWS or Google Cloud for scaling. Benefits: Predict stockouts, optimize reorders (e.g., 40% less overstock).
• Combined Use: Gorgias data (query volume) feeds into Prophet for demand signals. Tools like Kanhasoft or AWS Forecast enhance for Amazon sellers.