Food retailers, bakeries and food-service operators pay for demand planning and ordering software to cut shrink in ultra-fresh categories and reduce the daily scramble of store-level replenishment. Foodforecast is selling into that workflow with AI that automates ordering and production planning, targeting one of the most expensive operational pain points in food: waste driven by inaccurate forecasts.
German AI foodtech Foodforecast has raised EUR 8 million in Series A funding, according to EU-Startups. The round includes SHIFT Invest, ECBF, Future Food Fund and Aeronaut Invest. The company described the raise as a milestone to scale internationally.
Why this round fits the market’s direction
This is a with-trend financing: European food operators are pushing harder on measurable waste reduction as energy, labour and input costs stay elevated and sustainability reporting becomes more operationally relevant. The underlying problem remains large. Roughly 30,000 tons of fresh food are wasted every day across Europe due to poor demand planning in food retail and food service.
Foodforecast positions itself at the intersection of cost control and sustainability, with customer outcomes that are easy to quantify. The company says its AI can reduce food waste by up to 30% for customers in supermarkets, bakeries and food-service operators.
Product signal: automation depth drives switching costs
In demand planning, the commercial question is not whether AI can forecast better in a lab. It is whether the system can be embedded into store operations and trusted for daily ordering.
Foodforecast claims its technology automates over 90% of previously manual ordering and production processes across several thousand stores in Europe. That level of workflow ownership matters because it typically increases:
- Implementation depth: integrations with POS, inventory, production schedules and supplier lead times.
- Behaviour change: store teams must shift from “gut feel” ordering to exception-based oversight.
- Switching costs: once the system is tuned to store-level patterns, replacing it becomes disruptive.
The company also reports having generated more than 20 million automated orders within a year since its 2022 commercial launch, indicating meaningful production usage rather than pilot-only deployment.
ROI narrative: waste down, sales up
Foodforecast says it has already saved over 8,800 tons of food waste to date, and that customers have seen sales increases up to 11%. For operators, that combination is compelling: less shrink and better on-shelf availability can expand gross margin without changing assortment strategy.
The ability to show both cost reduction and revenue lift is also helpful in enterprise procurement, where “sustainability tooling” can be deprioritised unless it ties directly to P&L outcomes.
What EUR 8 million is likely to fund
Foodforecast says the funding will support product development, team growth and increased adoption among enterprise customers in food service, bakery and retail. It also frames the round as enabling international scaling.
Those uses of proceeds align with the typical scaling constraints in this category:
- Enterprise rollout capacity: onboarding, data readiness and operational change management across many locations.
- Category expansion: ultra-fresh forecasting is highly specific by product type and store format, so expanding coverage often requires focused model and UX work.
- Go-to-market repeatability: moving from regional wins to multi-country deployments, where language, supplier structures and store processes vary.
The investor mix also reinforces the thematic angle. EU-backed climate and impact capital has increasingly targeted “operational decarbonisation” software where outcomes can be measured in reduced waste and improved efficiency.
Outlook
Foodforecast’s stated ambition is to reduce the economic impact of food waste by EUR 10 billion over the next 10 years through intelligent planning. The immediate commercial test will be whether it can convert strong operational metrics into repeatable enterprise expansion across countries and formats.
What this enables
- Faster international expansion in European grocery, bakery and food-service accounts
- Deeper product investment in ultra-fresh forecasting and automated ordering workflows
- More capacity to support large multi-site deployments and change management
What to watch
- Proof of repeatable enterprise rollouts beyond initial regions and customer segments
- Retention and expansion signals as customers scale from pilots to chain-wide automation
- Competitive pressure from incumbents in retail planning and replenishment adding AI features
- How quickly Foodforecast can standardise integrations and data pipelines across retailers