- All Foundries
- 商品管理と取引
- 顧客とマーケティング戦略
- デジタルエンジニアリング
- ステーション・スタジオ
- サプライチェーン＆インダストリー5.0
- サステナビリティ
- Physical AI
- Next-Gen Infrastructure
動的価格設定
The challenge is not simply changing prices faster. It is deciding where a change makes sense, how far it should go and what it could mean for volume, margin, key value items and customer trust. Without a way to combine product roles, elasticity, costs, competition and purchase propensity, pricing teams are forced to act with an incomplete view. Without simulation, they discover the trade-offs only after execution.
Use product role and elasticity to make deliberate trade-offs instead of applying the same logic everywhere.
Measure uplift and cannibalization so promotional effectiveness is evaluated, not assumed.
Treat key value items strategically while adapting the wider assortment to local conditions.
Simulate price scenarios to understand likely volume and margin implications before a decision reaches stores or stations.
NTTデータのサポート体制は？
Build customer and location archetypes so the model reflects how demand behaves across the network.
Bring costs, competitive signals and purchase propensity into a shared decision model.
Give pricing teams and locations a self-service environment to compare scenarios before execution.
Assess uplift and cannibalization to identify which promotions create incremental value and which redistribute demand.
Move from pilot to network deployment with clear decision rights, operating routines and a path for continuous learning.
A referenced fuel and convenience deployment in Mexico and Colombia indicates the potential to connect more precise pricing with sales growth, forecast confidence and adoption across a distributed station network. The figures below require source and approval validation before publication.
Reported sales increase for service stations. Validate baseline, period, attribution and source.
Reported volume forecast accuracy versus actual. Validate methodology, horizon and sample.
Reported stations using the model across Mexico and Colombia. Validate current count and rollout date.
No grocery or fashion pricing KPI is provided in the source. Do not publish a fourth result until approved evidence is available.
Start the conversation that connects local market signals, customer perception and margin discipline before the next price decision is made.
