Contact Us
Finance • CFO • FP&A

Stop reconciling numbers. Start trusting them.

tRS gives finance teams a single, structured version of the truth across sales, stock, payroll, and financial data, so reporting, forecasting, and decision-making are based on consistent, trusted numbers.
Finance doesn’t struggle to report. It struggles to agree on what the numbers actually mean.
Built for forecasting, trading updates, recurring reporting, and faster executive explanation.
See how it works
See the ROI logic

FINANCE SNAPSHOT

ILLUSTRATIVE

SALES VS PLAN

+3.4%
Current trading period

GROSS MARGIN

58.1%
Aligned across channels

PAYROLL DRIFT

-1.1pts
Visible by store and region

ASK AI SUMMARY

3 drivers
Markdown, labor, mix
What this is
A single version of the truth for finance
tRS integrates operational and financial data into a unified retail data model, giving finance teams a consistent and reliable view across the business.
  • Sales, inventory, and financial data aligned at the transaction level.
  • Consistent definitions across finance, operations, and merchandising.
  • Elimination of reconciliation across multiple reports and systems.
  • One set of numbers used across all departments.
Finance teams are often the last line of defense when it comes to data accuracy, consistency, and trust. Too often, time is spent reconciling reports, validating assumptions, and explaining why numbers don’t match instead of analyzing what is actually happening.
Why finance teams get stuck
The real problem is not reporting. It is reconciliation and trust.
The issue is rarely whether dashboards can be built. The issue is whether the organization can define the right logic, keep it consistent across departments, and maintain it as systems and requirements evolve.
  • Departmental reports use different definitions for the same metric.
  • Trading updates are slowed by manual checking and rework.
  • Board and investor reporting becomes a one-off production exercise.
  • FP&A time is spent validating data instead of improving forecasts.
Automated reporting
Build once. Refresh on demand. Distribute with confidence.
The current finance page emphasizes automated reporting through tRS Cubed: an unlimited number of financial reports can be built, refreshed on demand or on a schedule, and distributed automatically to stakeholders. That matters because finance should not be rebuilding the same logic every week.
  • Unlimited financial reports built once and reused.
  • Scheduled or on-demand refresh for recurring reporting cycles.
  • Automated distribution tied to refresh timing or business cadence.
  • Consistent calculations across every output.
Planning
Forecasting is only as good as the inputs
The issue is rarely whether dashboards can be built. The issue is whether the organization can define the right logic, keep it consistent across departments, and maintain it as systems and requirements evolve.
  • Forecasts weaken when operational and financial inputs are disconnected.
  • Manual adjustments increase when definitions differ by team.
  • Scenario planning slows down when source data must be restated first.
  • Final plans are harder to publish consistently without a shared model.
Architecture

How Finance Gets from Fragmented Data to Trusted Insight

tRS does not ask finance to manage another spreadsheet layer or another reporting stack. It brings operational and financial data into a structured retail model, applies governed AI, and delivers outputs finance can use for reporting, forecasting, and decision support.
Systems
  • ERP / General Ledger
  • POS
  • eCommerce
  • Payroll / T&A
  • Inventory
  • Marketing / CRM
Core operational systems generate fragmented data with different structures, timing, and definitions.
Retail Data Model
  • Standardized ingestion
  • Retail-specific metrics
  • Historical point-in-time facts
  • Cross-channel alignment
  • Single source of truth
This is what lets finance compare actuals, plans, payroll, margin, markdowns, and inventory without rebuilding logic every cycle.
AI Control Layer
  • Curated data access
  • Prompt guidance
  • Field and filter control
  • Defined business logic
  • Repeatable outputs
Ask AI explains variances, trends, and recurring issues using the same structured definitions already trusted across tRS.
Outputs
  • Automated reports
  • Cubed / Excel
  • Ask AI summaries
  • Forecast packs
  • Board-ready insight
Finance gets speed where it matters: trading updates, recurring reports, forecasting, and cross-functional explanation.
The hard part isn’t reporting. It’s making sure finance, operations, and leadership are all looking at the same business.
AI for finance
Explain the numbers — not just report them
Ask AI summarizes financial performance using the same structured data and definitions used across tRS. Variances, trends, and recurring issues are explained in plain language so finance can understand what is driving results faster.
  • Explain variances across time, product, channel, or location.
  • Identify drivers of margin and cost movement.
  • Summarize trends quickly for executive communication.
  • Reduce rework and debate over whose report is correct.
Why it is better
More repeatable than bespoke internal reporting
The question is not whether finance can build spreadsheets or BI views internally. It can. The real question is whether the business can continuously define, govern, and maintain a retail-grade financial model over time.
  • Internal models often depend on a handful of finance power users.
  • Logic gets duplicated across spreadsheets, decks, and reporting packs.
  • Each new question creates another manual version of the answer.
  • What starts as reporting work becomes permanent maintenance work.
Typical finance use cases
Where tRS helps finance teams most
Ask AI summarizes financial performance using the same structured data and definitions used across tRS. Variances, trends, and recurring issues are explained in plain language so finance can understand what is driving results faster.
  • Trading updates Produce fast, reliable updates on sales, margin, payroll, stock, and exceptions without a manual scramble.
  • Forecasting and reforecasting Blend operational and financial signals to adjust plans with more confidence and less handwork.
  • Board and investor reporting Provide a consistent narrative supported by one model rather than multiple reconciled extracts.
  • Cross-functional alignment Give finance, merchandise, operations, and leadership the same underlying answer even when their views differ.
ROI
The first return is time. The bigger return is confidence.
Automated reporting and AI-assisted explanation remove repetitive work. The larger gain is faster, higher-confidence decision making because finance is no longer mediating report debates.
Illustrative time-saving model
Reports per month
Hours saved / report
Loaded hourly cost
Monthly value
$5,100
This only captures reporting efficiency. It does not include the value of faster forecast changes, better board communication, or fewer decisions delayed by reconciliation.
Workflow

How Finance Uses tRS in Practice

The value is not just easier reporting. It is a tighter cycle from data refresh to explanation to action.
Refresh
Source systems update and feed the retail model on a controlled cadence.
Review
Finance reviews automated reporting and variance views across sales, margin, labor, and stock.
Explain
Ask AI summarizes the key drivers in plain language using the same underlying data definitions.
Forecast
Teams update plans and scenarios with cleaner inputs and less manual restatement.
Distribute
Reports and narratives are scheduled, shared, and reused with far less one-off production work.
Proof points

Why Finance Teams Trust the Model

The current finance page emphasizes trust, accessibility, and a centralized reporting foundation across the organization.
“
Working with tRS for the last 5 years has provided Camilla with a single source of truth. The ease and ability to access data has ensured efficiency across the business.
K
Katie Metcalf Head of Planning at Camilla
“
As trusted custodians of our data, The Retail Score has partnered with APG&Co for over three years. We trust them and leverage the platform across our entire organisation.
J
Josephine Barbaro CFO of APG & Co
Appendix

What finance should understand about the platform

Finance buyers often evaluate a solution through the lens of reporting output. The stronger lens is whether the platform can continuously support trusted definitions, repeatable reporting, and broad business use without creating a new maintenance burden.

Area
What matters for finance
Data foundation
Sales, stock, payroll, and general ledger data are integrated into one structured retail model instead of being reconciled in downstream files.
Single source of truth
The same definitions and calculations are used across reporting, Cubed, and Ask AI, reducing disputes over metrics and supporting cross-functional consistency.
Planning support
tRS is positioned to support multiple plan production, comparison, and distribution workflows because the model already blends the right data sources and calculations.
Automated reporting
Recurring financial reports can be built once, refreshed on demand or on a schedule, and distributed automatically to stakeholders.
AI explanation
Ask AI is grounded in structured definitions, so finance gets repeatable, plain-language explanation rather than free-form interpretation on raw data.
Commercial value
The payoff is not just faster reporting. It is fewer reconciliation loops, cleaner executive communication, and more time for forecasting, risk, and decision support.

Show finance the business faster — with less reconciliation.

We can configure a finance view of tRS that supports forecasting, reporting, and executive communication while reducing the time spent validating numbers.
Request Demo
Contact Us

Our Clients

We focus on delivering a tangible return on investment be it through improved productivity, finding growth or aiding smarter decision-making. Collectively, we have over 50 years of experience in retailing, retail analytics, data management and insights.

Book a Demo