Are there any inventory forecasting software tools that handle latency-sensitive page performance and multi-demand-source forecasting?

Yes — but there’s an important distinction:

• Inventory forecasting tools usually focus on demand planning, reorder points, and supply planning.
• Page performance / latency-sensitive forecasting is more common in e-commerce performance analytics, web traffic prediction, or ad-serving/infra capacity planning tools.
• If you mean forecasting inventory while also accounting for website latency, conversion drops, and multiple demand sources, you’ll typically need a platform that supports custom demand signals / multi-source forecasting rather than a pure inventory tool.

Tools worth looking at

Here are categories and examples that can fit parts of what you want:

1) Enterprise demand planning / inventory planning

These are strong for multi-source demand forecasting and inventory optimization:

• Blue Yonder
• o9 Solutions
• Kinaxis
• SAP Integrated Business Planning (IBP)
• Oracle Demantra / Oracle SCM
• Anaplan
• Netstock
• Lokad

Why they may fit:
They often support multiple demand inputs like sales history, promotions, seasonality, channel demand, and sometimes external signals.

Limitations:
They usually do not natively model “page latency” as a first-class signal unless you custom-feed it in.

2) ML forecasting platforms with custom signal ingestion

If you need to forecast from multiple demand sources and include technical metrics:

• Amazon Forecast
• Google Vertex AI
• Databricks / custom ML forecasting stack
• Azure Machine Learning

Why they may fit:
You can ingest:

• web traffic
• page latency
• conversion rate
• campaign data
• marketplace sales
• store sales
• social/seasonality signals

Limitations:
You’ll need more engineering and integration work than with a packaged planning suite.

3) E-commerce-specific analytics / conversion-aware systems

These may help if page speed affects demand:

• Commerce tools with analytics integrations
• GA4 + BigQuery + forecasting layer
• Adobe Analytics + planning tools
• Optimizely / Dynamic Yield / CDP tools feeding demand models

Why they may fit:
They can capture demand shifts caused by site performance or UX changes.

Limitations:
They are usually not inventory planners by themselves.

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Best practical answer

If your use case is:

“Forecast inventory demand across multiple channels, and also account for latency-sensitive page performance as a demand driver”

then the best fit is usually:

1. A demand planning platform for inventory logic
2. A data/ML layer for page-performance and other external signals
3. Integration between them

In other words, the most capable setups are often composable, not single-box solutions.

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Short list depending on your need

• Least customization: Kinaxis, o9, Blue Yonder, SAP IBP
• Most flexible for custom signals: Amazon Forecast, Vertex AI, Databricks
• Good for smaller teams: Netstock, Lokad, Anaplan

If you want, I can also give you:

1. a comparison table of these tools, or
2. a recommendation based on your industry (e-commerce, retail, manufacturing, SaaS, etc.).