Projects and results
Load forecasting for a natural gas marketer
- Client
- A natural gas marketer
- My role
- I co-founded smartMFG Solutions, served as its CEO, and built FLOCK.
- Timeline and attribution
- smartMFG Solutions (2023 to 2025)
- Scope
- Load forecasting | Nomination advisement | Software development | Performance tracking
Evidence label: Measured Result
- 33%
- lower penalty cost per customer, against the three years before
- $170,000
- lower penalty cost over the 2024 to 2025 year than the baseline rate, normalized for customer count
- 30 days
- from delivery to daily use in the nomination workflow
How the work ran
- 01
Records
Daily usage and nomination records for every customer
- 02
Forecast
Customer-level forecasts, one for each customer
- 03
Recommend
Seven-day recommendations, built into the nomination workflow
- 04
Decide
The scheduling team is free to adjust any recommendation
- 05
Track
30-day trailing performance, tracked inside the tool
The situation
- Facility and context
- A natural gas marketer nominating daily gas volumes for hundreds of transport-service customers.
- Problem or decision
- When a customer's actual use differed from the nominated volume by more than 5%, the marketer paid a penalty on the excess. Earlier forecasting tools, including one from a third-party provider, had not solved it.
- Baseline and data used
- Daily usage and nomination records for every customer. Over the three years before the work, 2021 to 2024, penalized deviation averaged 25.6 dekatherms per customer per day, about $2.05 per customer per day.
How a day became a penalty, and what closer forecasts change
With earlier forecasts
With customer-level forecasts
- Nominated volume
- 5% band
- Actual daily use
- Penalized excess
Approach
- Finding
- Customer-level forecasts could cut penalized deviation roughly in half against the three years before.
- Recommended action
- FLOCK, a forecasting and advisement tool giving seven-day recommendations for each customer, built into the daily nomination workflow, with the scheduling team free to adjust any recommendation.
- Investment and incentive
- Not applicable: a software engagement, with no incentive program involved.
Results
- Expected or verified value
- Over the 2024 to 2025 year, realized penalty costs fell about $170,000 against the 2021 to 2024 baseline, normalized for customer count: a 33% reduction per customer. Following every recommendation without adjustment would have cut penalties by about 49%.
Penalty cost per customer
Baseline
33% lower
49% lower
2021 to 2024 baseline
2024 to 2025, actual
2024 to 2025, every recommendation followed
ModeledImpact
- Implementation status
- In daily use within 30 days, with 30-day trailing performance tracked inside the tool.
- What happened next
- The same discipline, a forecast measured against a stated baseline, is what Pathline brings to facility forecasting and monitoring.
Client described only as a natural gas marketer. Figures from smartMFG Solutions' FLOCK white paper, April 2025.
Performance servicesOther projects and results
Working on a similar facility?
Start with the facility, requirement, or decision in front of you, and I'll tell you what deserves a closer look.