Services

Analytical depth.
Commercial relevance.

Four connected service areas help product-driven businesses understand performance, evaluate product and inventory decisions, strengthen planning, and develop clearer customer and commercial priorities.

01

Business & Performance Analytics

Build a dependable view of performance, assess contributing factors, and identify what deserves management attention.

Business questions

  • Where is performance changing?
  • Which factors appear most relevant to the change in performance?
  • What deserves management attention now?

Analytical work

KPI definition, trend and variance analysis, contributing-factor analysis, management reporting, and performance interpretation.

Decisions supported

Performance priorities, resource focus, operating adjustments, and clearer management visibility.

Decision output

A concise evidence base that distinguishes observed symptoms from the patterns and contributing factors most relevant to the decision.

02

Merchandising & Assortment Analytics

Evaluate product, SKU, category, and assortment performance to improve productivity and commercial alignment.

Business questions

  • Which products earn their place in the assortment?
  • Where is the mix over- or under-weighted?
  • Which categories require action?

Analytical work

SKU and category performance, product mix, sell-through where data permits, assortment breadth, lifecycle patterns, and inventory exposure.

Decisions supported

Assortment choices, category priorities, product actions, inventory focus, and replenishment priorities.

Decision output

Prioritized product and inventory findings with clear implications for the assortment.

03

Planning & Forecasting

Connect historical performance, current signals, and business assumptions to support disciplined forward planning.

Business questions

  • What demand should the business prepare for?
  • Where are stockout or overstock risks emerging?
  • Which assumptions need to change?

Analytical work

Demand analysis, forecast support, scenario planning, plan-versus-actual review, replenishment analysis, and risk identification.

Decisions supported

Demand outlook, inventory priorities, operating plans, scenario choices, and response to emerging risks.

Decision output

A transparent planning view with assumptions, limitations, and decision implications made explicit.

04

Customer & Market Insights

Develop an evidence-based view of customer behavior, commercial contribution, and market context to support customer and market decisions.

Business questions

  • Which customers or segments contribute most to commercial performance?
  • How are purchase behaviors changing?
  • Where do the available data indicate potential commercial opportunities?

Analytical work

Customer behavior, segmentation, purchase patterns, retention indicators, market context, and opportunity assessment.

Decisions supported

Customer priorities, targeting, offer development, value proposition, and commercial focus.

Decision output

A commercially grounded view of customer and market evidence, tied to a defined business choice.

Merchandising, assortment, product, and inventory decisions are a particular strength—especially for fashion, jewelry, and accessories brands with complex assortments. The same decision-led approach supports other product-driven businesses.

Review the Sample Decision Report →

Retail analytics consulting

Connect commercial performance with product and inventory decisions.

For product-driven retailers and ecommerce brands, useful analysis connects sales, assortment, availability and planning to the next operating choice.

Who the work is for

Elarva supports businesses reviewing category performance, a buying plan, slow-moving stock or a changing sales pattern. Fashion, jewelry and accessories assortments are particularly relevant; beauty, home décor and other product businesses can bring the same questions.

The decisions it supports

Which products deserve attention? Where do stock and sales appear misaligned? Which assumptions should shape the next plan? The Decision Areas page outlines the choices the analysis can help clarify.

What can be analyzed

Sales and return history, SKU and category attributes, inventory snapshots, purchasing information and cost data can support a connected review. Customer and order data may add context where relevant. Scope depends on the available fields, time history and quality; Elarva does not assume a direct connection to the client’s operating systems.

How the work becomes useful

The review establishes consistent definitions, reconciles relevant totals and examines trends, variance and product-level exceptions. Findings are translated into business implications and priorities. Recommendations state relevant assumptions and conditions for reassessment, following the decision-first approach.

How an engagement begins

Submit the business question and a relevant file for scope review. The selected service and available evidence determine the depth of work. Scope and amount are confirmed before payment. Compare the three engagement options or start a project request.

Explore the analytical work behind a specific commercial question.

Inventory analytics · Merchandising analytics · Ecommerce analytics

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Choose the analytical support that fits the decision.

Services can be scoped as a focused review, a deeper product and inventory audit, or ongoing decision support.

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