Use cases
From a decision problem to measured evidence
Each use case defines the decision, data source, evaluation method, measured result, and limitation. The industry structure separates common methods from market-specific assumptions.
Industries
4 industries, 14 applied cases
11 use cases
Energy
Price forecasts and dispatch signals for flexible energy assets.
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1 use case
Maritime
Vessel arrival forecasts for port capacity and service planning.
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1 use case
Retail
Demand forecasts across products, stores, and planning levels.
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1 use case
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Causal response curves for budget allocation across channels and markets.
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Methods, results, and stated limits
Forecast market prices before battery dispatch
A shared forecasting method estimates day-ahead and reserve-market prices, then converts each price curve into a charge and discharge schedule for battery assets.
The case estimates about EUR 4.5 million of additional annual day-ahead value per GWh of battery capacity for an illustrative German two-hour asset.
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Re-price flexible power at every market gate
A rolling forecast produces a 24-hour price curve at every half-hour gate, which updates the signal as the delivery period approaches.
Across 194 delivery days, the rolling signal adds SGD 33,000 per MW relative to a previous-day schedule under the stated spread-value assumptions.
Read use caseSchedule batteries in Germany before the day-ahead auction
eomer Expert forecasts every hour of the day-ahead auction for Germany and Luxembourg (DE-LU) before the 12:00 gate on the day before delivery. A battery schedule converts each forecast into charge and discharge decisions.
Across 730 delivery days, eomer Expert earns EUR 450k more per battery-year than the most profitable rival model and EUR 30k more than the free public forecasts.
Read use caseSchedule batteries in Denmark before the day-ahead auction
eomer Expert forecasts every hour of the Danish day-ahead auction before the 12:00 gate on the day before delivery. A battery schedule converts each forecast into charge and discharge decisions.
Across 608 delivery days (306 per zone), eomer Expert earns EUR 231k more per battery-year than the most profitable rival model and EUR 669k more than the free public forecasts.
Read use caseSchedule batteries in Spain before the day-ahead auction
eomer Expert forecasts every hour of the Spanish day-ahead auction before the 12:00 gate on the day before delivery. A battery schedule converts each forecast into charge and discharge decisions.
Across 322 delivery days, eomer Expert earns EUR 267k more per battery-year than the most profitable rival model and EUR 50k more than the free public forecasts.
Read use caseSchedule batteries in France before the day-ahead auction
eomer Expert forecasts every hour of the French day-ahead auction before the 12:00 gate on the day before delivery. A battery schedule converts each forecast into charge and discharge decisions.
Across 287 delivery days, eomer Expert earns EUR 236k more per battery-year than the most profitable rival model and EUR 342k more than the free public forecasts.
Read use caseSchedule batteries in Great Britain before the day-ahead auction
eomer Expert forecasts every hour of the N2EX day-ahead auction before the 09:50 gate on the day before delivery. A battery schedule converts each forecast into charge and discharge decisions.
Across 756 delivery days, eomer Expert earns GBP 326k more per battery-year than the most profitable rival model and GBP 184k more than the free public forecasts.
Read use caseSchedule batteries in Italy before the day-ahead auction
eomer Expert forecasts every hour of the Italian day-ahead auction before the 12:00 gate on the day before delivery. A battery schedule converts each forecast into charge and discharge decisions.
Across 2,408 delivery days (344 per zone), eomer Expert earns EUR 196k more per battery-year than the most profitable rival model and EUR 138k more than the free public forecasts.
Read use caseSchedule batteries in Japan before the day-ahead auction
eomer Expert forecasts every hour of the JEPX spot auction before the 10:00 gate on the day before delivery. A battery schedule converts each forecast into charge and discharge decisions.
Across 4,203 delivery days (467 per area), eomer Expert earns JPY 95M more per battery-year than the most profitable rival model and JPY 48M more than the free public forecasts.
Read use caseSchedule batteries in four Texas load zones on real-time price forecasts
eomer forecasts hourly real-time prices at four ERCOT load zones before 09:00 Central on the day before delivery. A battery schedule converts each forecast into charge and discharge decisions at the local price.
Across 843 delivery days, eomer adds USD 1.25M to 2.81M per battery-year over the naive schedule, which equals USD 3.1M to 7.0M per GWh-year.
Read use caseSchedule batteries at three California trading hubs on real-time price forecasts
eomer forecasts day-ahead and real-time prices at the SP15, NP15, and ZP26 trading hubs before 10:00 Pacific on the day before delivery. A battery schedule converts each forecast into charge and discharge decisions at the local price.
Across 941 delivery days, eomer adds USD 410k to 710k per battery-year in real time over the naive schedule, which equals USD 1.0M to 1.8M per GWh-year.
Read use caseEvaluate vessel ETA forecasts across planning horizons
An ongoing engagement evaluates vessel ETA forecasts across the planning horizons that support port capacity and service decisions.
The engagement remains in progress, so the underlying data and results cannot be disclosed at this stage.
Read use caseForecast demand across 30,490 product-store series
The case uses the public Walmart M5 forecasting benchmark dataset to compare a coherent 28-day demand forecast across 30,490 product-store series.
The case records a WRMSSE of 0.738, compared with 0.765 for the traditional benchmark, and completes a nationwide forecast in about three minutes.
Read use caseReallocate ad spend with causal response curves
A causal media-mix method accounts for demand effects and estimates marginal return by channel and market. It assigns a fixed budget to the highest estimated marginal returns.
The case estimates 13% more attributed revenue at the same total budget, with a 90% interval from 12% to 29%.
Read use caseEvaluate a representative workload with eomer.
A 30-minute session covers baseline results, uncertainty, deployment options, and the limits of production use.
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