Retail Analytics

Retail Analytics Services

Bring sales, inventory and store reporting into a consistent view. Our retail analytics services connect POS, ecommerce and ERP data so merchandising, finance and operations teams can work from shared reporting definitions.

POS and ecommerceValidated retail dataStore and management BI

Retail reporting challenges

01

Different channel totals

Align return, tax and reporting cutoff rules.

02

Limited stock visibility

Connect product and location identifiers across systems.

03

Manual weekly reporting

Create repeatable reporting datasets and clear ownership.

Retail analytics capabilities

01

Sales and margin reporting

Compare revenue, discounts, returns and margins using agreed financial definitions.

02

Inventory visibility

Report stock availability, movement, aging and location-level balances.

03

Store and channel dashboards

Compare store and ecommerce activity with consistent periods and product categories.

04

Merchandising reporting

Review product and category performance to support assortment and replenishment discussions.

05

Customer reporting

Report approved purchase and segment measures with suitable privacy and access controls.

06

POS and ERP integration

Connect transaction, product and inventory records while documenting refresh and reconciliation rules.

Retail data and platform integrations

POS systemsEcommerce platformsERP and inventoryCRMPower BI and TableauData warehouses

Platform choices depend on your existing environment, approved interfaces, licensing and security requirements. We assess these before recommending an implementation.

Retail analytics reporting architecture

  1. 01POS and ecommerce
  2. 02ERP and inventory
  3. 03Validated retail data
  4. 04Retail KPI model
  5. 05Store and management BI

Access controls, validation and monitoring apply across the delivery path. We adapt this architecture to your source systems and reporting requirements.

Relevant enterprise delivery

Related ERP projects show how connected business systems support operational reporting. Each case study describes its original industry and project scope.

Apex Shoes retail ERP

Connected retail operations, inventory and reporting give teams a shared view of stock and business activity.

Read the Apex case study →

Our retail analytics delivery process

01

Review

Map channels, sources and reporting needs.

02

Define

Agree product, store and KPI definitions.

03

Connect

Build reporting data and dashboards.

04

Validate

Reconcile sales, returns and stock totals.

05

Adopt

Train teams and monitor refresh quality.

A delivery plan your teams can maintain

01

Business definitions first

Agree reporting questions, measures and ownership before implementation.

02

Connected engineering

Plan reporting, integration, quality checks and access together.

03

Documented handover

Provide model definitions, operational notes and user guidance for the agreed scope.

Scope, cost and engagement options

Effort depends on source access, data condition, reporting complexity, security rules and the rollout footprint. Discovery establishes the delivery scope, acceptance criteria and a project estimate.

Start with a scoped assessment, deliver an agreed implementation in phases, or extend your team for ongoing engineering and reporting support. Licensing, hosting and support responsibilities are agreed before delivery.

Retail Analytics Services FAQs

What do retail analytics services cover?

They cover sales, inventory, stores, channels and merchandising reporting, supported by BI and connected business data.

Can you combine POS and ecommerce data?

Yes, when interfaces and permissions are available. Product, transaction and location mapping are part of discovery.

Does this include predictive AI?

This page focuses on reporting and dashboards. Predictive models and AI systems require a separately defined AI service scope.

Are the case study results guaranteed?

No. Published results describe particular projects. A new engagement needs its own baseline and acceptance criteria.

Discuss your data and reporting priorities

Tell us about your current systems, reporting priorities and delivery constraints. Our team will review the requirements and discuss the next steps.

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