InsightsCommercial intelligence by Porosi
Know what changed. Know where to look next.
Porosi Insights watches your eligible order and operational history for meaningful changes in customers, products, margin and workload, then shows your team the evidence behind each signal.
A signal is a prompt to investigate, not proof. Insights can be wrong, incomplete or out of date. Staff should verify the underlying orders, products, costs and dates before acting.
Insights workspace
Illustrative data
Customer change
High · 86%
The Red Lion is 12 days beyond its expected order window
- Observed
- 20 days
- Expected
- 6–8 days
- Difference
- +12 days
Recommended staff action
Review recent orders, then decide whether a member of staff should contact the customer.
Customer changesProduct demandMargin pressureOperational workloadEvidence before action
01 Find the change worth checking
Your reports contain the answers. Insights helps your team find the question.
A customer ordering less, a product accelerating or margin slipping can hide inside thousands of otherwise normal lines.
Insights compares complete periods with each entity's own eligible history, applies readiness and materiality gates, and prioritises the signals that deserve a human look. Reports remain the detailed analysis surface; Insights is the starting point.
See a regular customer drift before silence becomes the new normal.
Surface missed order windows, falling spend, shrinking baskets and products a customer has stopped buying.
Notice genuine momentum without treating every small rise as an opportunity.
Apply the same confidence, history and materiality discipline to growth as to decline.
Connect commercial change to the work it creates downstream.
Review workload, fulfilment exceptions, warehouse context and demand pressure alongside customer and product signals.
02 What Insights can show
One prioritised view across the signals that move a wholesale business.
Visible signals depend on the data Porosi can measure authoritatively and the amount of eligible history available. Newer customers and products stay in a clear learning state until they are ready.
Ordering behaviour
- Missed expected orders
- Spend, quantity and basket changes
- Products stopped, started or restarted
- Cadence, channel and account-health shifts
Demand and range
- Product and category gainers or losers
- Customer breadth and concentration
- Price, quantity and substitution changes
- New-product adoption and repeat purchase
Revenue and margin
- Ordered value, realised sales and profit
- Price, volume and mix drivers
- Margin pressure and missing cost coverage
- Revenue or margin concentration risk
Workload and fulfilment
- Order-volume peaks or troughs
- Status backlog and assignment gaps
- Shortages, substitutions and back-orders
- Warehouse and delivery-run load changes
Channel and Sense signals
- Browser, app, staff and assisted-channel mix
- Sense review backlog and conversion
- Unmatched or low-confidence frequency
- Correction patterns without raw message content
Stock and buying pressure
- Demand versus stock and incoming quantity
- Stock cover, overstock and slow movement
- Receipt, adjustment and stocktake variance
- Suggested review points, never automatic purchases
03 Evidence before explanation
Every visible signal should tell your team why it exists.
Porosi keeps detection, confidence, severity and figures deterministic. Clear language can help someone read the evidence, but it cannot rewrite the numbers or turn correlation into causation.
Actual
The observed value over a complete, named period.
Expected
The adaptive baseline and normal range from eligible history.
Confidence
History, regularity, data completeness and recurrence made visible.
Drill-down
Links to the customers, products, orders, reports or operational records behind it.
Harbour Kitchen's realised sales are 24% below expectation
The change is concentrated in dairy and prepared produce across the latest complete 28-day window.
- Observed
- £8,420
- Expected
- £11,080
- Difference
- −£2,660
- Confidence
- 82% · High
Baseline window
Observed window
Data quality
Cost coverage is incomplete, so this signal does not claim a profit change.
04 Staff-assisted action
From signal to follow-up, with a person in control.
Insights gives the team one place to review, assign and record what happened. It does not send a message, change a price or create a purchase by itself.
- 01Prioritise
Start with the clearest, most material changes.
Severity, confidence, urgency and estimated impact order the inbox.
- 02Verify
Open the evidence and check the source records.
Review the dates, orders, products, costs and operational context behind the signal.
- 03Decide
Assign, snooze, dismiss or choose a next step.
Your team decides whether a customer conversation or operational action is appropriate.
- 04Record
Keep notes, outcomes and recurrence together.
Build an auditable history without attributing the outcome to the signal.
05 Designed limits
Useful intelligence starts with knowing what the data cannot prove.
If a customer, product or metric lacks enough eligible history, Porosi shows learning progress instead of fabricating a trend.
One supplier's data is not used as another supplier's benchmark, and permissions still apply to every detail and deep link.
An Insight cannot contact a customer, alter an order, change a price, create a purchase or update an accounting record.
Porosi Insights is being introduced through a controlled rollout. Current availability and readiness are confirmed during your demo or onboarding.
06 Questions, answered
What your team should know before relying on a signal.
Insights is designed to focus human attention, not replace commercial judgment or the source records behind a decision.
What can Porosi Insights show my team?
It can highlight meaningful changes in customer ordering, product demand, revenue, margin, order intake, fulfilment, inventory and operational workload where Porosi has enough authoritative history. The exact visible set depends on your data and readiness.
Does Insights contact customers automatically?
No. Insights may recommend a staff action, but it never sends a message or contacts a customer. A person reviews the evidence and decides what to do.
Can an insight be wrong?
Yes. An automated signal can be incomplete, out of date or affected by unusual source data. Do not rely on an insight by itself: verify the underlying orders, products, quantities, costs and dates before making a decision.
How does Porosi decide what is unusual?
Porosi compares each eligible customer, product or operational series with its own history and normal range, using complete periods, readiness thresholds, materiality and confidence rules. The visible detail shows the actual value, expected value and comparison windows.
Does Porosi compare my business with other suppliers?
No. Detection is tenant-scoped. Porosi does not expose another supplier's customer, product, sales, margin or operational data as a benchmark for your business.
Who can see Insights?
Insights is for authorised supplier staff with Reports permission. Warehouse restrictions continue to apply, customer users do not receive a supplier Insights view, and availability is introduced through a controlled rollout.
Insights Evidence-led intelligence
Turn the next meaningful change into a better question.
Bring a real customer, product or report question to the demo. We will show what Porosi can measure, what still needs history and how your team verifies a signal before acting.
Or call +44 07927 994619