AI-powered forecasting for your supply chain

The AI forecasts that fit your workflow.

Not the other way around.

Whether you are a manufacturer tired of guessing demand or a distributor with too much stock, we turn your data into forecasts you can trust. A tailored AI engine that fuses your internal data with 1,000+ external signals, delivered as a subscription directly into the tools you already run — no software to install, no team to hire.

1,000+ external signals →

Weather ·

Temperature anomaly DE

Macro ·

CPI Eurozone

Calendar ·

School holidays NRW

Search ·

Trend index plant-based

Commodities ·

Wheat futures

Promo ·

BBQ season Sales

Mobility ·

Cross-border traffic

Energy ·

Power price DE

Logistics ·

Port congestion Rotterdam

Retail ·

Football DACH

Social ·

Mention velocity

Currency ·

EUR / USD

Weather ·

Temperature anomaly DE

Macro ·

CPI Eurozone

Calendar ·

School holidays NRW

Search ·

Trend index plant-based

Commodities ·

Wheat futures

Promo ·

BBQ season Sales

Mobility ·

Cross-border traffic

Energy ·

Power price DE

Logistics ·

Port congestion Rotterdam

Retail ·

Football DACH

Social ·

Mention velocity

Currency ·

EUR / USD

+
0
%

Increase in forecast accuracy

-
0
%

Lost sales & unavailability

-
0
%

Variable 3PL costs

-
0
-
0
%

Inventory Reduction

01 / The problem

Planning systems that predict yesterday.

Forecasting hasn't kept up with reality. Most planning stacks still extrapolate from history alone — and miss the signals shaping what happens next.

01

History doesn't plan forward.

Statistical models extrapolate from past sales data, but they overlook the external factors that determine tomorrow's demand: promotional campaigns, macroeconomic developments, and trends.

02

External signals ignored.

Your ERP has no idea Veganuary starts in January, or that a competitor is running −30% promos this weekend across three regions.

03

Decisions made half-blind.

Planners compensate with spreadsheet overrides and gut feel. The result: excess stock on slow movers, stock-outs on fast ones, missed SLAs.

02 / How it works

We run the engine.
You get the result.

A three-step pipeline. Your data and 1,000+ external signals feed a hybrid AI that's tuned per-SKU — and lands as forecasts inside the tools your team already uses.

01 / Business input

Your data plus 1,000+ signals.

We ingest your historical sales, then layer in 1,000+ curated external signals — macro, trends, commodities, calendar, promotions, prices.

02 / Forecast engine

Hybrid AI, built per product.

For each SKU we run millions of model experiments to find the optimal algorithm — then auto-retune weekly as market conditions shift.

03 / Actionable insights

Better starting numbers your team acts on.

Forecasts arrive directly in your existing planning stack — no new UI, no retraining. Your team makes the calls; we just give them stronger inputs to work from.

03 / Integrations

Into the tool you already use.

Outputs land in whatever format your team already works in — no software to install, no process to change. Your planners keep their workflow. We just give them stronger inputs.

XL

Microsoft Excel

.xlsx delivered direct to shared drive or SharePoint, on schedule.

GS

Google Sheets

Auto-populated tab via service-account writes — always live.

CSV

CSV / Flat file

SFTP drop, S3 bucket or email — your existing pipeline picks it up.

{ }

REST API

JSON endpoint into your ERP, planning suite or BI layer.

04 / Use cases

The difference on Monday morning.

Same data, same team, same tools — different starting point. Pick a function to see the before/after.

Sales

Long-term revenue forecasts per product, product family or key account, so you can plan capacity, sourcing, and investment around where the market is heading, not where it's been.

Without Foresaight

Sales projections stop at next quarter. Product-level trends lost in top-line aggregates across regions. Strategic bets placed on guesswork.

With Foresaight

Long-term demand visibility per product. Market shifts and trends in view before competitors. Capacity, sourcing, and investment, planned with conviction.

-65%

Reduction of lost sales due to product unavailability.

Source: McKinsey Global Institute

Sales · long-term horizon

See demand before it happens.
Outpace the competition.

Inventory

Demand forecasts to drive your safety stock and replenishment, so cash isn't tied up in slow movers and fast movers don't go out of stock.

WithOUT Foresaight

Safety stock buffers set by rule of thumb. Slow movers pile up. Fast movers stock out at the worst moment.

With Foresaight

Per-SKU safety stocks tuned to actual demand variability. Working capital down, service levels up.

-20 to -50%

Reduction of lost sales due to product unavailability

Source: McKinsey Global Institute

INVENTORY · WEEKLY HORIZON

Hold the right stock.
Reduce working capital.

Logistics

Inbound and outbound volume forecasts down to the number of picks — so labour and capacity planning match real workload, not guesswork.

Without Foresaight

Personnel and 3PL capacity over-booked "just in case". Costly overtime when forecasts miss, missed deliveries when teams are short-staffed. Returns catch the team off guard.

With Foresaight

Personnel and 3PL plans match expected volumes. Lower overtime, fewer emergency transports, more stable daily ops.

-50%

Reduction of variable 3PL costs.

Source: Foresaight client data

LOGISTICS • DAILY HORIZON

Forecast the workload.
Skip the emergencies.

05 / For your team

One engine. Every planning function.

Foresaight delivers role-specific forecasts across your entire supply chain — each output calibrated to the decisions that function actually makes.

01 / Sales

Sales Lead

Sales forecasting · Demand sensing · Promo lift modeling · Customer-level granularity.

Reliable revenue numbers

Better customer commitments

Fewer surprises in S&OP

02 / Supply chain

Supply Chain Lead

Inventory & safety stock · Storage optimization · Materials availability.

Lower working capital

Fewer stockouts and overstocks

Clear service vs capital trade-offs

03 / Procurement

Purchasing Lead

Materials forecasting · Raw materials & components · Packaging planning.

Fewer urgent purchases

Better supplier negotiations

More stable inbound flows

04 / Production

Production Lead

Production scheduling · Volume planning · Capacity planning by line.

Smoother production plans

Fewer last-minute changeovers

Higher asset utilization

05 / Logistics

Transport Lead

Personnel planning · Trucks & drivers · 3PL forecasting · Returns.

Lower overtime & temp labor

Fewer emergency transports

More stable daily ops

06 / Impact

Numbers from the shop floor.

A snapshot of what changed once Foresaight was running in production, measured against the planning systems it replaced.

Accuracy we deliver, and what it means in euros.

>
20
%

Storage cost optimization. Savings from optimized stock levels.

Mid-size manufacturer

-
55
%

Reduction of idle personnel time

E-commerce distributor

100
K

Annual savings from optimized personnel planning

Third-party logistics provider

“We have been in this business for almost 100 years. This is truly a gamechanger. We saved 100k this year, from optimized personnel planning alone.”
Marc-André Fritz
Owner & MD · Fritz Gruppe
“The collaboration with Foresaight has been exceptional from day one. Their solution delivered immediate value, enabling us to significantly optimize capacity planning while increasing forecast accuracy."
Jens Niehaus
Process Manager Logistics - REWE Group
"We see double digit improvements in storage cost optimization.”
Head of Supply Chain
Mid-size manufacturer

Clients

07 / Getting started

From data to live forecasts in 3 weeks.

Two phases. The first proves the engine works on your data. The second proves we can deliver it on schedule, week after week.

Phase 1

Technical Test

"Can we deliver the agreed results?"

1 day to 3 weeks

1

Kick-off · 1 hour

Define target variable, update frequency, forecast horizon, accuracy benchmark.

2

Integration meeting · 1 hour

Identify your specific demand drivers — promotions, seasonality, customer behaviour, events.

3

Data processing & model creation

We run millions of experiments per SKU to find the optimal forecasting architecture.

4

Debrief with back-testing · 1 hour

We simulate model performance against the past 12–24 months of your data.

Phase 2

Operational Test

"Can we deliver the agreed service?"

6 to 12 months

1

Forecasts delivered on schedule

In the agreed format at the agreed time — e.g. .csv on Wednesdays at 12:00 CET.

2

Weekly check-ins · 30 min

Q&A with you and your planning team. No bottlenecks, no surprises.

3

ROI & benefit tracking

We measure impact together to determine whether this is a good investment for your supply chain.

4

Continuous model improvement

Continuous model improvement

08 / About us

The very human team behind Foresaight.

Backed by Europe's leading deep-tech networks. Passion-led, knowledge-built.

Grant

EXIST Forschungstransfer

German federal funding for deep-tech research transfer

Winner

WECONOMY AWARD 2025/26

Most innovative start-up in Germany

Top 10

EU Supernovas

Most promising female-led start-up in Europe

Top 3

OUT OF THE BOX Award

Most innovative start-up in NRW

Julian Gruber

CEO · Product & Bus Dev

"Where data science meets the supply chain."

Laura Mati

COO · Strategy & Ops

"Where sharp strategy becomes scale."

Dr. Steffen Runge

CTO · Tech & AI Ops

"Where tomorrow lives in today's data."

Backed by · part of