
FP&A automation services for retail teams. Automate forecasting, reporting, variance analysis, data consolidation, and finance workflows with AI.
We combine AI, finance automation, data integration, and analytics engineering to reduce repetitive FP&A work and improve the speed and consistency of retail financial analysis.
bringing finance, sales, inventory, merchandising, store, ecommerce, and operational data into usable workflows
with less manual consolidation, spreadsheet preparation, and recurring data manipulation
across stores, channels, categories, products, regions, and business units
by surfacing material movements and supporting drivers for finance teams to investigate
for invoices, budget inputs, reports, supplier documents, and other finance-related records
for analysis, commentary preparation, summarization, and information retrieval with finance review
as stores, channels, products, data sources, and reporting complexity continue to grow
A cross-functional team works with finance and technology leaders across process discovery, data integration, AI engineering, automation, testing, and rollout.
Automation consultants, data engineers, and AI specialists strengthen your team across planning workflows, finance data, reporting, and analytics automation.
A focused initiative built around a defined forecasting, reporting, consolidation, variance-analysis, or finance-process bottleneck with clear implementation outcomes.
We map planning cycles, reports, data sources, spreadsheets, approvals, manual handoffs, recurring effort, and finance pain points before deciding what to automate.
We automate repetitive data preparation, forecast refreshes, assumptions, calculations, scenario inputs, and consolidation while keeping finance teams in control.
We build data pipeline automation across ERP, POS, ecommerce, inventory, merchandising, payroll, and other systems so finance receives cleaner, more consistent inputs.
We extract and validate relevant information from invoices, reports, budget submissions, supplier documents, and other finance records before routing it downstream.
We use AI to summarize movements, identify patterns, organize supporting evidence, and prepare analysis for finance review.
We automate reconciliation support, reporting preparation, data validation, document handling, and recurring handoffs around existing accounting systems.
We connect finance applications, cloud platforms, databases, APIs, spreadsheets, and internal systems so FP&A workflows operate across the existing technology landscape.
A practical framework for ranking finance processes by repetition, cycle time, manual effort, data readiness, exception volume, and decision impact.
A structured way to decide which FP&A steps should be deterministic, AI-assisted, manually reviewed, or kept fully under finance ownership.
A framework for evaluating data quality, ownership, reconciliation needs, refresh frequency, source consistency, and readiness for automated planning and reporting.
We review planning cycles, reporting, systems, spreadsheets, sales and inventory data, recurring reconciliations, and the finance outcomes that need improvement.
We identify where rules-based automation is sufficient, where AI adds value, where data engineering is required, and where finance review should remain mandatory.
We define integrations, data pipelines, calculation logic, AI components, controls, approvals, exception handling, and reporting outputs.
We implement workflows, connect retail and finance systems, test calculations and data movement, and validate AI-assisted outputs with finance users.
We track processing time, data quality, exceptions, reporting efficiency, AI outputs, and user feedback while expanding automation based on measurable value.



Teams that needed to ship fast, and did. Here's what partnering with Logiciel felt like from the inside.
FP&A automation services help retail finance teams reduce manual work across budgeting, forecasting, management reporting, variance analysis, financial data consolidation, inventory analysis, and recurring finance workflows.
Common opportunities include forecast refreshes, budget consolidation, sales and margin reporting, inventory analysis, management packs, variance analysis, data preparation, reconciliation support, and recurring commentary preparation.
AI can help summarize performance changes, organize supporting evidence, identify patterns, prepare variance commentary, retrieve relevant information, and accelerate repetitive analysis while finance teams retain control of assumptions and decisions.
Yes. Data pipelines and integrations can connect ERP, POS, ecommerce, inventory, merchandising, payroll, databases, and spreadsheets so finance teams can work from more consistent datasets.
Yes. Automation can bring together sales, cost, pricing, discount, promotion, returns, and inventory data to support repeatable analysis of margin, stock performance, working capital, and related financial drivers.
Yes. Existing accounting automation software can remain part of the environment. We can automate data preparation, reconciliation support, reporting, document processing, and planning workflows around it.
We look at frequency, manual effort, reporting delays, data availability, repeatability, exception rates, business impact, and the amount of finance judgment required. Recurring processes with high data-handling effort and clear outputs are often strong starting points.
Connect finance, sales, inventory, and operational data to automate repetitive work, accelerate reporting, and help FP&A teams focus on the decisions that drive performance.