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A facility in the Energy sector
Industries · Energy

In Energy, Every Decision Affects the Whole System.

In the energy sector, making the right decision gets harder when pricing, location, contract and transaction data are assessed in isolation. Butterfly combines this data in a single model, making dynamic pricing, field and operational processes manageable. It generates recommendations with a rules engine, publishes them with human approval and keeps every decision traceable.

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Organizations that trust Butterfly
VodafoneFloReebokNine WestMetro IstanbulDoğuş MediaTypekuvazNTVDiscoveryTLCKoleksiyonLumberjackGQVogueDeva Holding CompaniesKoray KimyaPuhu TVDMAX

The right balance comes when data meets in the right flow.

In energy operations, a small data error can turn into a wrong price recommendation, and an overlooked contract term into lost profitability at a location. Butterfly brings data from different sources into a shared structure. It makes business rules enforceable, evaluates decisions through scenarios and leaves critical steps to human approval.

TodayA single bad data point turns into a wrong price.
Competitor prices are collected by hand, and data arrives late.
Competitor and location data are collected automatically.
The rules table is updated in Excel.
Regulatory rules are updated in tables, in one place.
A contract term is overlooked, and the price comes out wrong.
The rules engine blocks recommendations that conflict with the contract.
Location profitability quietly drops.
No price is published without human approval.
With ButterflyButterfly puts every price through rules and approval.

A price proposal is calculated
from eight different data sets
and published with human approval.

Butterfly combines the data in a single model, and the rules engine generates the recommendation. The final say always rests with the authorized person.

Transaction dataEnergy costContractLocationCompetitor priceSocket powerFleet shareCustomer type
Rule
motoru
Price recommendation · DC 180 kW
11.49₺10.99/kWh
Sample location · weekday evenings
  • Doesn’t go below cost
  • Doesn’t conflict with contract terms
  • Complies with the regulatory rules table
Awaiting approval from the pricing officer Approved · live

No price is published without approval. The recommendation is recorded together with the data and rules used.

Dynamic pricing and profitability management

Campaign, discount, competitor price, location target and profitability data can’t be assessed together. As regulations change, pricing rules have to be updated by hand.

With Butterfly Transaction, energy cost, contract, location, competitor, socket power, fleet and customer type data are combined in a single model. The rule engine generates price proposals; scenarios are evaluated, and no price is published without human approval.

Pricing decisions become transparent and auditable. Regulatory changes can be managed through rules tables.

Fleet share 62% → discount recommendation blocked

The rules engine generates a price recommendation for each location; recommendations that conflict with the contract don’t go live, and the rest await authorized approval. Sample data.

Decisions based on reliable data

Missing codes, inconsistent amounts and incorrect coordinates in years of transaction data reduce the reliability of decision models.

The flow with Butterfly

  1. Data is validated as it is loaded into the system.
  2. Issues found are reported to the customer as an action list; personal identifiers are anonymized during loading.
  3. Decisions are made on verified, measured data.

Accurate pricing at contracted locations

At locations with contracted customer tariffs, general price recommendations can ignore conditions such as revenue sharing and fleet utilization.

The flow with Butterfly

  1. The rules engine can block price cut recommendations at locations with a high fleet share.
  2. Different revenue-sharing models are assessed separately in the profitability calculation.
  3. Price recommendations that conflict with contract terms don’t go live. Decisions at the location level become more controlled.

Competitor and location data management

Competitor prices and publicly available location data are collected manually, which makes it hard to keep the market view current.

The flow with Butterfly

  1. Competitor data is collected through automation and integrations.
  2. Location information is enriched with open map data and can be used in segmentation processes.
  3. The market view becomes current, comparable and repeatable.

Processes managed end to end
in energy operations

Butterfly
Dynamic pricingFrom data collection to human-approved publishing
Data qualityValidating high-volume transaction data
Competitor and location dataAutomatic collection and enrichment
AI assistantFrom meeting notes to process orchestration
CRM and process managementPoCs for fuel, LPG and energy companies
Butterfly orchestration layer
Dynamic pricingFrom data collection to human-approved publishing
Data qualityValidating high-volume transaction data
Competitor and location dataAutomatic collection and enrichment
AI assistantFrom meeting notes to process orchestration
CRM and process managementPoCs for fuel, LPG and energy companies

Regulatory requirements

In the energy sector, it matters that processes are managed in line with current regulations. Butterfly helps manage the relevant business rules and operational steps centrally.

  • EPDK license and station codes
  • Regulatory announcements and dynamic pricing regulations
  • Migration processes to the national charging infrastructure platform
  • Management of personal data under KVKK
Frequently asked

Quick answers about Energy.

The most frequently asked questions about Butterfly in energy processes.

Does Butterfly change prices on its own?
No. Butterfly generates price recommendations based on defined business rules. No price is published without human approval. The system does not do individual-level pricing.
Does our data leave the organization?
Different Butterfly deployment options, such as on-premises or private cloud, can be considered. Where data is stored and which systems it is shared with are determined by the organization's infrastructure and security requirements.
What happens when regulations change?
Regulation-related pricing and operational rules can be updated through rules tables, reducing the need for software development for each change. How a new regulation is applied in the system is defined according to the relevant business rules.
Can you trace how price recommendations are generated?
Yes. Recommendations can be reviewed together with the data used, the defined rules and the approval steps, so the basis for pricing decisions becomes visible.

The same orchestration
creates value in every industry.

Explore how Butterfly creates value across industries.

Explore All Industries

Works by the rules of your industry.

Manufacturing and Industry

Asset, maintenance, procurement and approval processes on one platform.

Retail and E-Commerce

Multi-brand e-commerce, order and product information flows.

Pharmaceuticals and Regulated Manufacturing

Quality, document and contract processes, ready for audit at any time.

Media and Publishing

High-traffic content and video publishing, channel revenue reporting.

Transportation and Logistics

Self-service reporting and field inspection from multi-source operational data.

Telecom

Infrastructure ready to scale for channel, content and operational processes.

View all industries +5

Let’s decide where to start, together.

In a discovery call, let’s talk about your existing systems and your priority process, and define the right starting area for you together.

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