Are there any S&OP software options that work with historical sales only data for demand planning?

Yes — many S&OP / demand-planning tools can work with historical sales data only, especially if you want a baseline statistical forecast rather than a full demand-sensing setup.

What to look for

If you only have historical sales, you’ll want software that supports:

• Time-series forecasting from sales history
• Seasonality and trend detection
• Promotion/event override if needed
• Forecast accuracy tracking
• Ability to start with limited data maturity and add more inputs later

Common categories of tools that can do this

1. Dedicated demand planning / S&OP platforms

   • Often work fine with just sales history at first
   • Examples: Kinaxis, o9 Solutions, SAP IBP, Blue Yonder, Anaplan, Board

2. Mid-market planning tools

   • Usually easier to implement and can use sales history only
   • Examples: Netstock, Lokad, RELEX (more retail-focused), Logility

3. Analytics / forecasting tools

   • Can generate demand forecasts from historical sales alone
   • Examples: Azure Forecasting / AutoML, AWS Forecast (where available), Excel-based models, Power BI + forecasting add-ons

Important caveat

If you mean full S&OP in the sense of balancing demand, supply, inventory, and finance, most platforms will eventually want more than sales history:

• inventory
• shipments
• backlog
• promotions
• pricing
• product lifecycle events
• supply constraints

But for demand planning, historical sales alone is often enough to get started.

Practical recommendation

If you’re early in the process, pick a tool that:

• imports CSV/ERP sales history easily
• forecasts at SKU/location level
• allows manual overrides
• supports phased rollout as you add other data later

If you want, I can also give you:

1. a shortlist by company size (small, mid-market, enterprise), or
2. a comparison table of these tools based on cost, ease of use, and fit for sales-history-only planning.