foresAIght

foresAIght enhances your planning in Excel or replenishment tools with more accurate forecasts – enabling better decisions and reducing inventory risk.

  • 2024 Founded in
  • Manufacturing Industry

The Idea
What it's about

foresAIght integrates directly into existing planning processes and systems – whether Excel, ERP, or replenishment tools. Instead of replacing your planning, we enhance it with more accurate, data-driven forecasts. This allows your team to continue working in its familiar environment while significantly improving forecast quality.

Our main use cases are sales forecasting and SKU-level demand forecasting. Our models combine internal historical data with external influencing factors, such as industry-specific indices (e.g., meat price developments in Germany), pricing and promotion effects, and public holidays. This enables earlier and more accurate demand visibility, reduces planning deviations, and supports more reliable decision-making across sales, procurement, and supply chain operations.

The result: improved budget planning, fewer stockouts and excess inventories, more stable inventory levels, better alignment between teams, and greater planning reliability for both operational and financial objectives.

The team
Who is behind it

 
Julian combines more than 9 years of experience in consulting and finance, with a focus on data-driven business models. Steffen brings over 8 years of AI expertise in machine learning and forecasting, along with a strong research background in data science. Laura complements the team with more than 10 years of experience in transformation and cybersecurity. Together, we cover the key areas of business, AI, and technology.

interview
foresaight

What does your solution concretely deliver – in one sentence?

What does your solution concretely deliver – in one sentence?
Better planning reliability – leading to higher revenue and lower costs.

Which companies is your solution best suited for?

Which companies is your solution best suited for?

Small and medium-sized enterprises (SMEs).

How complex is a typical implementation?

How complex is a typical implementation?

A typical integration takes approximately three weeks.

What do you need from the customer to get started?

What do you need from the customer to get started?

Historical sales data for the relevant products.

What are the next steps for interested companies?

What are the next steps for interested companies?
Feel free to send me an email.

Learn more
More information about foresAIght