Fundle Brain · AI intelligence

Ask better questions of your mall’s sales.

Ask which tenants drove a decline, which numbers need checking and what a different finish to the month would look like. Start with the scope of the data and follow the answer back to a report.

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Inside the platform

Reports in this workflow

Waterfall-style contribution chart with bill cuts, ATV, returns, estimated unreported sales and residual on a lakh-rupee axis.
Trading analytics

Sales change bridge

Trace the change in trading through bill count, average transaction value, returns, estimated unreported sales and the residual. The missing-data contribution is an estimate.

Daily rupee sales bars followed by a forecast line and two dotted bounds to 30 November, with 65% low evidence strength.
Management dashboards

Actual sales and month-end forecast

The bars show reported daily net sales through 8 November. The lines extend the likely, low and high daily forecasts to month-end. The evidence rating travels with the projection.

Twelve purple monthly bars with a horizontal line labelled Normal = 100.
Trading analytics

Month-of-year seasonality index

Compare each calendar month with the average month. The dotted line at 100 marks the baseline and makes seasonal peaks and troughs easier to read.

Horizontal diverging bars for six demo categories, with increases in blue or green and decreases in red.
Trading analytics

Category contribution to sales movement

See which categories contributed positively or negatively to the adjusted change. The bars show signed contributions so a drag remains visible beside a gain.

Interactive example

Three questions for the morning meeting.

Choose a question to inspect a worked example. Each answer shows the calculation and a report to open. The figures are illustrative.

Fundle BrainIllustrative data
Which stores still owe yesterday’s sales?
4submissions outstanding
120 expected tenant submissions
  • 113 non-zero
  • 3 zero
  • 4 outstanding

At the 10:00 cut-off, 116 of 120 expected stores had submitted. Three of the 116 confirmed zero sales. Tenant relations can follow up with the four outstanding stores.

120 due − 116 received = 4 outstanding
Open Missing Sales Days
Intelligence workspaces

How operators use AI in ADSR.

Why Sales Changed

Trace movement to a category or tenant

Use the sales change bridge to inspect drivers, drags and the effect of incomplete data. A category manager can then check the stores behind the movement.

Risk & Opportunity

Prioritise a tenant conversation

Start with the tenant attention list. Compare a flagged store with its peers and review return pressure or sales per unit of space before deciding on a follow-up.

Forecast Accuracy

Judge a projection against history

Compare historical forecast checkpoints with actual closes. Look at error, bias and evidence coverage before using a current projection in a management discussion.

Portfolio Scenario Lab

Test an assumption about month-end

Change bill count, average transaction value or returns for the remaining days. Review a hypothetical close alongside actuals through the cut-off.

Interpreting an answer

Keep the evidence with the explanation.

The signed-in Ask Mall Metrics and Executive Copilot workspaces let operators pose questions in the selected property context. A useful management answer identifies the period, sales definition and tenant set behind the claim.

A scenario depends on assumptions. An unusual refund pattern prompts an investigation. Finance reviews supporting records and lease terms before approving commercial action.

Explore the official Fundle ADSR workflow
Product evidence

Explore a month-end scenario.

The Scenario Lab exposes assumptions for bills, transaction value and returns. Operators can distinguish the inputs they choose from the sales already reported.

View the report
Scenario Lab with three demo properties selected and six assumption fields, all at their initial zero values.
Portfolio Scenario Lab Set assumptions for the remainder of the month. The demo exposes separate inputs for bill count, average transaction value, return rate and other planning assumptions.
Product walkthrough

Bring one mall.
Follow one trading day.

See how tenant submissions become a finance review and a management brief.

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Product screen

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Mall Metrics advisor

ADSR product support and demo enquiries

What would you like to know about Mall Metrics?
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Fundle stores this conversation so the team can follow up.