Convenience Store Sales Growth

A service-station convenience retail network used transaction data and other internal and external sources to identify purchase patterns, shape promotion communications and define more than 60 sales-growth initiatives for immediate application in stores.
Customer browses fresh food in a service-station convenience store, with fuel pumps visible through the windows.
Average ticket
+5% reported increase
Growth initiatives
60+ defined for stores
Data foundation
4+ sources integrated
Promotion strategy
Grounded in basket data
Cashier scans a sandwich beside a drink, snack, fruit cup and coffee at a service-station convenience store checkout.
From station data to +5% average ticket in convenience stores
Turning underused station data into practical growth decisions
目的
Increase revenue by growing convenience-store sales at service stations.
機会
Use transaction and related data as an ongoing decision base for understanding baskets, identifying sales opportunities and shaping promotion communications.
Moving from available data to actionable store insight

The network had a valuable base of station-generated data, but the initiative needed to connect that information to store profiles, purchase patterns and promotion decisions.

主な課題
Convenience-store manager reviews operations on a tablet beside the checkout, with the fuel forecourt visible outside.
1: Data integration
The initiative required information from at least four internal and external sources to be brought together for analysis.
Store operations specialist walks through a service-station convenience store while reviewing its layout and assortment.
2: Store characterization
The network needed a consistent view of convenience-store characteristics to interpret performance and product mix.
Shopper selects fresh food while carrying a basket with coffee, a drink, a sandwich and a snack.
3: Purchase patterns
Customer basket behavior and cross-purchase patterns had not been systematically analyzed.
Employee updates a shelf-edge promotion beside snacks and drinks in a service-station convenience store.
4: Promotion communication
Promotion communications lacked a data-driven basis linked to observed basket behavior.
解決策
Market basket insight translated into store action

NTT DATA combined multi-source analysis, store characterization and market basket analysis to turn existing data into initiatives that stores could apply directly.

チェックアイコン
Unified analysis base

Analyzed information across more than four internal and external data sources.

チェックアイコン
Store characterization

Characterized convenience stores to create a clearer basis for interpreting commercial performance and mix.

チェックアイコン
Market basket analysis

Applied a market basket analysis model to identify purchase patterns and sales opportunities.

チェックアイコン
Promotion strategy

Defined a communication strategy for promotions grounded in basket data.

影響
From transaction evidence to measurable ticket growth

The work defined more than 60 immediately applicable sales-growth initiatives and established a basket-data-led promotion communication strategy. The source reports a 5% increase in average ticket, supported by analysis across more than four internal and external data sources.

注目の成功事例
デジタル化されたサービス管理による現場業務の強化と、コネクテッドワーカー技術による安全性の向上
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