Physical Retail Intelligence that leads to decisions

600 stores. 40 need attention. Which ones first?

Your perspective

Scoutsss shows which stores to check first, why, and what your team should examine on site.

FREERetail Intelligence Snapshot

A compact snapshot with three priority areas for action, so you know what you receive in exchange for your information.

✓Prioritised stores or regions✓Initial hypotheses about performance gaps✓Three recommended next steps for Operations
ScopeThree priority areas for action
Your inputsNetwork, store count, region
DeliveryCompact snapshot by email within a few days

No workshop. No integration. No sales call needed.

Free, without obligation or a credit card.

Swiss Plateau region · Urban formatDetail: 22 stores within this group
Retailer● HIGH PRIORITY
Retail Opportunity Score
38
Retail Opportunity Score: location level, based on four components. The Swiss Retail Index measures sectors and regions. Illustrative example.
Action needed
Swiss network6 need action
Greatest opportunityImprove availability at the purchase moment and shelf navigation.
MomentumDeclining
Delta vs. peer group−12
ConfidenceHigh
Output preview · Retailer

What your team receives.

Anonymised example · what the snapshot looks like
LocationSignalPriorityNext action
Bern WestNavigation and availability at the purchase momentFIRSTCheck shelf zones and navigation on site
Basel SouthThe location’s customer job is not being metPILOTCompare the assortment with the catchment area
Zurich NorthService experience is declining against the peer groupMONITORCheck staffing coverage at peak times

Illustrative example with anonymised locations. In the actual snapshot, every row states its evidence level and confidence.

Find opportunities, not faults

Find opportunities rather than rate stores.

Scoutsss identifies where a location differs from its peer group and checks the cause on site.

This does not become a performance rating of teams or partners: no names, no visit quotas, no personal assessment. The focus is the untapped opportunity at the location, rather than the person working there.

CH
Scout network throughout SwitzerlandCertified on-site research in every language region.
AI
Aggregated signal analysisPublic customer signals as patterns, never individual cases.
QA
Stated confidenceEvery statement shows its basis and how certain it is.
DP
Compliant with Swiss data protection lawNo personal review texts, no names.
The operational problem · Retailer

You cannot visit every store. But you can understand every store.

The network average looks solid, while individual locations are slipping. Central metrics reveal problems late and rarely explain the cause. Scoutsss exposes the gap beneath the average.

01

The average hides the gap

Availability, placement, advice and experience vary significantly by location, while central reporting makes them look similar.

02

Resources follow routine

Visits follow familiar routes, which do not necessarily lead to the location with the greatest opportunity.

03

Impact remains an assumption

Briefed and paid for centrally, but rarely does anyone confirm at each location whether the measure is in place and having an effect.

What you receive · Retailer

A prioritised decision list, beyond another data collection.

The free snapshot provides an initial assessment with stated confidence and shows where a deeper on-site diagnosis makes sense next.

1
Prioritised locations
Where to look first, and why.
2
Performance gaps
Which factors currently hinder the customer job at this location.
3
Concrete next steps
What regional management and Operations should check.
Where action is worthwhile first
Anonymised illustration · example Swiss network
Management View
Act firstMonitorOn track
01
Bern West
Purchase moment: navigation & availability
Check immediately
02
Basel South
Consumption moment: location’s customer job not met
Pilot
03
Zurich North
Repeat purchase: service experience declining
Monitor
What follows · Retailer

What your team does with it on Monday.

The snapshot ends with a sequence of priorities and three checks to carry out, beyond a number.

→Regional management visits the three locations that matter first.
→Operations knows which cause to check on site.
→Management sees in two pages why this order matters.

Who is Scoutsss for?

Choose your perspective: the text, examples and your snapshot adapt.

Relevance by role · Retailer

The network average looks solid. But can you see which store is slipping beneath it?

Network metrics hide local deviations. Three roles, three questions about the same gap.

Regional management · Network perspective

Identify deviations earlier

Make local experience and execution gaps visible before they appear in the figures. The network average hides precisely the locations that are slipping.

“Which stores are deviating, and can we see it before the figures show it?”

Operations · Cause perspective

Target resources

Prioritise store visits, coaching and measures rather than following routes and habits.

“What evidence do we show when someone asks why this store comes first?”

Category & Format · Assortment perspective

Scale best practices

Understand what strong locations do differently and transfer those patterns to comparable formats.

“What do our strongest locations do differently, and can we transfer it?”

How it works

From blind spot to prioritised action.

Four steps. The third is the most important: on-site research confirms the hypothesis, or disproves it.

1OBSERVATION

Signal

Aggregated public customer signals show where things change, over quarters rather than as a single snapshot.

2HYPOTHESIS

Hypothesis

Neutrum.ai normalises signals, compares them with an anonymised group and identifies the likely cause.

3VALIDATION

On-site validation

Scoutsss checks the hypothesis at the location and disproves it when it does not hold. Only then does an assumption become a finding.

4DECISION

Action

The finding becomes a sequence of priorities with a concrete check for the team and stated confidence.

Why conventional store scores are not enough

A location is not simply good or bad. It fulfils a job, or it does not.

A convenience store at a station fulfils a different job from a suburban supermarket. Scoutsss therefore considers location, format and purchase moment when comparing sites.

Location

The job of the location

Catchment area and context determine what good performance means at this location.

Format

Compare like with like

Comparisons are only made within an anonymised group with the same format and competitive environment.

Purchase moment

The moment matters

Immediate consumption in transit, a weekly shop under time pressure, a considered choice with advice: each moment places different demands on the shelf.

Reference: Swiss Retail Index

Your network against the Swiss Retail Index.

The Swiss Retail Index on swissretailsignal.ch is the public external framework for sectors, formats and regions. Scoutsss places your locations in this framework, against an anonymised peer group in the same competitive environment.

4 levelsAvailability, Execution, Sentiment and Momentum as sub-indices of the overall index.
3 stagesObservation, hypothesis, validation: every number states its evidence level.
WeeksFrom initial analysis to prioritised action in weeks rather than months.
Region
Your network
Peer group
Delta
Zurich
72
68
+4
Bern
64
69
−5
Eastern Switzerland
58
70
−12
Ticino
71
67
+4
Availability sub-index
Elevated risk23%
Execution sub-index
Medium62
Sentiment sub-index
Stable3.8

Illustrative example. Benchmark values come from the Swiss Retail Index and location values from on-site research. All values are proprietary indicators, rather than objectively measured third-party metrics. The peer group is always anonymised.

Free check for Retail

Where should your team look next?

You receive a compact initial assessment of your network, with stated confidence.

✓Prioritised stores or regions✓Initial hypotheses about performance gaps✓Three recommended next steps for Operations
Your report: Retail Intelligence SnapshotFREE
Your store network in two pages · Two pages for senior management
·Prioritised stores: where action matters first·Network-wide patterns vs. local outliers·Next step: the three management questions about your network, and how Proof of Control answers them with on-site data

After submitting: your Retail Intelligence Snapshot arrives by email within a few days. If it shows a real need for action, we suggest a short conversation and a Proof of Control, without obligation.

Data basis: publicly accessible review and feedback signals from third-party platforms, aggregated, and the information you provide. “Powered by Neutrum AI”

By submitting, you agree to the processing of your information for contact and preparation of the initial assessment. Privacy and Legal notice of DiALOGiFY AG.

Timing

A blind spot becomes costly when a decision is due. That is when the snapshot pays off.

Before space and assortment planningBefore the budget cycleBefore a format rolloutAfter a refurbishmentBefore retail media commercialisation
Common questions

What decision-makers ask first.

Is this a tool for monitoring our store managers?

No. It assesses the customer experience and execution at the location, rather than the work of individuals. There are no names, personal review texts or employee visit quotas.

What does the snapshot cost?

Nothing. The snapshot is free and without obligation. Charges only apply to deeper on-site research or ongoing monitoring, and only if you want it.

Where does the data come from?

From three separate levels: aggregated publicly accessible customer signals (observation), modelling by Neutrum.ai (hypothesis) and structured on-site research by Scoutsss (validation). Every statement states its evidence level.

Do we need to integrate it with our systems?

No. Information about your network or channel is sufficient for the snapshot. First-party data such as sales, footfall or loyalty is only included with explicit permission.

How quickly will we receive results?

The snapshot arrives by email within a few days. Deeper on-site research delivers findings in a few weeks, rather than quarters.

What if there is little data for a location?

Then the location appears as an open question rather than a priority, and we make that explicit. No score is communicated when confidence is low.

Does this comply with Swiss data protection law?

Yes. Only aggregated patterns are analysed, with no personal data or original review texts. The operator is DiALOGiFY AG in Switzerland.

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