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Retail Data Platform リテールデータ活用基盤

A data foundation that unifies scattered retail data and turns it into decisions

Consolidate and restructure siloed data from POS, EC, membership, inventory, SCM, and more into a single foundation. We provide end-to-end support — from data collection all the way to demand forecasting, recommendations, and BI analysis.

 

Siloed Data

POS/Core Systems
EC/Web
Membership/CRM
SCM/Inventory 
↓ Aggregate & Integrate ↓
Cloud Data Platform
consolidation, restructuring, refinement, and operationalization
↓Data Utilization ↓
Demand Forecasting
BI Analysis
Dashboards

A data foundation that unifies scattered retail data and turns it into decisions

Consolidate and restructure siloed data from POS, EC, membership, inventory, SCM, and more into a single foundation. We provide end-to-end support — from data collection all the way to demand forecasting, recommendations, and BI analysis.

Siloed Data

POS/Core Systems
EC/Web
Membership/CRM
SCM/Inventory 
↓ Aggregate & Integrate ↓
Cloud Data Platform
consolidation, restructuring, refinement, and operationalization
↓Data Utilization ↓
Demand Forecasting
BI Analysis
Dashboards

The Challenge

小売DXにあたってのお客様課題

Siloed data isn't being fully utilized

POS, EC, membership, inventory, SCM — data fragmented across separate systems is holding back competitiveness in the omnichannel era.

Data Silos

POS, core systems, EC, membership, inventory, and SCM are each built independently, fragmenting data and preventing company-wide use.

Unused Data

Data accumulates daily but isn't organized in a form usable for analysis or forecasting, so it doesn't translate into decisions.

Slow Omnichannel Response

Without a unified view of customers across stores, EC, and apps, companies can't deliver a consistent shopping experience.

Operational Gaps

Even after building a platform, it often fails to take hold in day-to-day operations, so the investment doesn't translate into results.

Our Approach

アジアクエストの取組み

Turning Scattered Data into a Usable Asset

Consolidate siloed data into a single foundation that solves real business challenges, through four steps from aggregation to practical use.

01

Aggregate

Bring together data scattered across systems into one place.

02

Restructure

Rebuild the data into a structure suited for analysis and utilization.

03

Refine

Improve data quality into something reliable and truly "usable."

04

Operationalize

Apply it to real-world use, including forecasting, analysis, and automation.

By consolidating scattered data into a single foundation, we help solve business challenges through data utilization
— strengthening competitiveness for the omnichannel era and supporting you all the way through to real-world operation.

Architecture 全体像

End-to-End, from Collection to Utilization

From connecting diverse data sources, to storage, to utilization — one platform supports the entire data lifecycle.

Source

Diverse Data Sources

POS/EC
Membership systems
Inventory management/SCM
Supplier integration
Integration

Data Integration (ETL)

Securely connect each source
Collect and integrate data
Data Cleansing
Platform

Data Storage Foundation

Data lake
DWH (data warehouse)
Data marts
Utilization

Data Utilization

BI/analysis, AI forecasting
Dashboards (UI/UX)
Sales growth, inventory optimization

Use Cases 活用領域 ― データを成果につなげる

基盤に集約したデータを、売上・在庫・顧客体験を動かす施策へ。多様な活用シーンに対応します。

Use Cases 活用領域 ― データを成果につなげる

AI Forecasting

Predict demand from sales history and other data to optimize inventory and reduce stockouts and overstock.

Personalized Recommendations

Recommend the best products and offers to each individual based on membership and purchase data.

Order Optimization/Automation

Optimize and automate ordering based on demand forecasts and inventory levels, reducing workload.

Sales & Purchase Behavior Analysis

Visualize and analyze sales and purchasing behavior to support KPI monitoring and data-driven decisions.

Foot Traffic Measurement

Measure customer visits and movement with in-store sensors, feeding physical store data into the platform.

3D Store Simulation

Test and optimize store layouts in advance using virtual stores and shelf-planning simulations.

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AI Forecast
AI需要予測

 
AI Forecast

AI需要予測

販売実績や各種データから需要を予測し、欠品・過剰在庫を抑えた在庫最適化につなげます。

 
Recommend

レコメンド・パーソナライズ

会員・購買データをもとに、一人ひとりに最適な商品・施策をレコメンドします。

 
Auto Ordering

発注最適化・自動化

需要予測と在庫状況をもとに、適正な発注を最適化・自動化し、業務負荷を軽減します。

 
BI Analytics

売上・購買行動分析(BI)

売上や購買行動を可視化・分析し、KPIモニタリングとデータドリブンな意思決定を支えます。

 
Store IoT

来客計測・店舗IoT

店舗センサーで来客や動線を計測。実店舗のデータも基盤に取り込み、運営に活かします。

 
3D / Layout

3D・棚割シミュレーション

バーチャル店舗や棚割シミュレーションで、売場づくりを事前に検証・最適化します。

Value & Benefits アジアクエストが提供する価値とメリット

What AsiaQuest Delivers

Consolidating scattered data pays off across sales, inventory, and customer experience.

 

Increased Sales

Demand forecasting, recommendations, and promotion optimization reduce lost opportunities and grow sales.

 

Inventory Optimization

Improved forecast accuracy and order optimization curb both stockouts and excess inventory.

 

Improved Customer Experience

A unified view of customers across stores and EC delivers a consistent, personalized experience.

 

Data-Driven Decision Making

Choose actions based on visualized data, not just intuition and experience.

 

Operational Efficiency

Automate manual tasks like aggregation and ordering, freeing up time for higher-value work.

 

Stronger Omnichannel Capabilities

Integrate data across stores, EC, and apps to boost cross-channel competitiveness.

End-to-End: From data collection to storage and utilization, all the way to real-world operation.
Seamless, end-to-end support turns investment into steady results.

Why AsiaQuest アジアクエストが選ばれる理由 

From Build to Full Operation

We don't stop at building the platform — we support you all the way to where data is actively used on the ground and delivering results.

01

End-to-End, from Collection to Utilization

Consistent support across data integration, platform building, BI/AI utilization, and UI/UX — with no gaps.

02

Support Through Real-World Operation

We don't just build the system — we stay closely involved until it's actually used in the field and delivering results.

03

Proven Track Record in Multi-Cloud & Data Platform Development

Extensive experience building cloud databases and data platforms. We select the optimal configuration for your requirements.

04

Strong Technical Capability and In-House Development Support

With the technical strength of 400+ engineers, we support everything from requirements definition to operations, in-house development, and self-sufficiency.

Ready to Build Your Data Platform?


We'll propose the optimal approach for data utilization tailored to your company's data environment and challenges.

Inquiries at the concept stage are also welcome.