Thinklytics

Retail & E-Commerce Data Analytics Consulting

Retail and e-commerce data analytics consulting. We unify customer data, improve demand forecasting, and build the analytics infrastructure that drives revenue.

Topics

  • retail data analytics consulting
  • e-commerce analytics
  • customer 360 data
  • demand forecasting analytics
  • retail AI consulting
  • inventory optimization analytics

Work delivered in this industry

National Specialty Retailer

Built a unified customer data system across 8 channels to drive $4.2M in personalized sales revenue.

$4.2M Incremental personalization revenue in 90 days.

Mid-Market E-Commerce Brand

AI-driven demand forecasting cut overstock by $2.8M and cut stockouts from 312 to 81 a quarter through precise inventory adjustments.

$2.8M Annual inventory carrying cost reduction.

Regional Grocery Chain

We cut 220 store reports down to 14 certified dashboards, saving $890K a year.

$890K Annual reporting labor saved.

Specialty Apparel Retailer

Churn model retained $3.1M in annual loyalty revenue through targeted win-back outreach.

$3.1M Annual loyalty revenue recovered.

What clients in this industry usually arrive with

  • Reporting cannot be trusted, described as sales and finance numbers do not match or inconsistent KPI reporting. Resolved by Metric governance, data cleaning, master data management, data engineering.
  • Reporting takes too much work, described as automate monthly reporting or combine reports from multiple systems. Resolved by Executive reporting, integrations, ERP consolidation.
  • Employees waste time finding information, described as search internal company documents or find policies and procedures quickly. Resolved by Knowledge assistant, RAG, unstructured data platform.
  • Systems require manual handoffs, described as eliminate manual data entry between systems or automate approval workflows. Resolved by API integration, workflow automation, human review design.
  • AI projects are not delivering value, described as measure AI ROI or AI pilot not moving to production. Resolved by Strategy, readiness assessment, AI PMO, adoption.
  • AI is too risky to deploy, described as AI confidential data protection or control AI agent permissions. Resolved by Governance, AI security, agent identity, evaluation.

Other industries

Start with the 30-day Analytics Truth Audit.

Retail data work that holds up at scale.

Why retail analytics initiatives stall.

What retail clients ask before they engage.

Often paired with retail engagements.

Ready to fix your retail data layer?

Customer 360 data unification across online, in-store, and mobile channels

No unified customer identifier across POS, e-commerce, and loyalty systems

How do you unify customer data across online and in-store channels?

We build a customer identity resolution layer that links records across your POS, e-commerce platform, loyalty system, and CRM using deterministic and probabilistic matching. The result is a single customer profile that powers personalization and analytics across every channel.

Can you improve demand forecasting without replacing our ERP?

Yes. We build demand forecasting models on top of your existing systems by extracting and normalizing historical sales, inventory, and external signals. We do not require a platform replacement to deliver meaningful forecast accuracy improvements.

Most retail data foundation engagements run 10 to 14 weeks. We start with a 30-day Analytics Truth Audit that identifies the specific gaps in your data layer and produces a prioritized roadmap before any build work begins.

Do you work with both brick-and-mortar and pure-play e-commerce companies?

We work with both. The data challenges differ slightly but the underlying problems are the same: siloed data, inconsistent metrics, and analytics infrastructure that cannot keep pace with the business. We have experience with omnichannel retailers and digital-native brands.

Retail and e-commerce data analytics consulting. We unify customer data, improve demand forecasting, and build the analytics infrastructure that drives revenue.

Analytics consulting for retail and e-commerce. Sales, inventory, and customer data.

Retail and e-commerce companies generate more data than almost any other sector, yet most struggle to unify it into a single customer view. We build the data foundation that powers personalization, demand forecasting, and inventory optimization.

Start with a 30-day Analytics Truth Audit. We identify exactly what is broken and give you a 90-day roadmap to fix it.