Back to Imberion
How it works

One connected operation.
Three distinct capabilities.

Built to work as a full loop, or deployed where the need is greatest.

A Information Infrastructure B Commercial Intelligence Engine C Execution & Value Capture
A
Information Infrastructure

We build the visibility
you don't have yet.

Most organizations cannot see their market clearly, not because the data doesn't exist, but because it has never been consolidated into a single reliable base. Arm A resolves that before anything else can be attempted.

The data foundation

We integrate what already exists.
We capture what's missing.

Arm A does not assume the data exists. First it consolidates the information the operation already has, scattered and unharmonized; then it captures what is not yet visible.

We consolidate what already exists

The transactional, POS, and distributor data the operation already has: scattered, in different formats, and unharmonized. We capture, clean, harmonize, and consolidate it into a single reliable base.

Market Signal

The external market made observable: competition, prices, and what happens at the point of sale.

Floor Signal

The physical floor made observable: shopper, journey, shelf, and the sales conversation, read with computer vision and audio.

Scattered sources consolidated into a single structured base
Structured Sources

Internal transactional data

ERP, sales systems, and billing records, the data the client already owns but rarely consolidates.

Traditional channel POS

Point-of-sale capture from fragmented traditional trade where traceability is typically low.

Modern channel POS

Transactional data from structured retail chains and modern trade formats.

Distributor integrations

Structured connections to receive and map sales, coverage, pricing, and promotional data.

Syndicated market data

Third-party aggregated sources for benchmarking and market-level reads.

Product & price catalogs

SKU master data, price lists, promotional calendars, and inventory records.

Unstructured & Missing Sources

Field surveys

In-field capture for prices, inventory, promotions, visibility, competitive presence, and compliance.

Sales force reports

Route-level intelligence from commercial teams operating at the point of sale.

Shelf & in-store intelligence

Assortment compliance, share of shelf, pricing execution, and promotional display tracking.

Competitive price monitoring

Observed competitor pricing at point of sale by channel, region, and format.

Market studies & benchmarking

External research and category benchmarks that provide context beyond internal data.

Consumer & shopper research

Demand-side intelligence to complement supply-side and transactional data.

1

Data Capture

Direct capture from POS systems, surveys, apps, and integrations. The entry point for all commercial information.

2

Data Ingestion

Technical loading of multiple sources into a common architecture, regardless of format, cadence, or origin.

3

Data Cleansing

Correction, validation, deduplication, and resolution of inconsistencies. A reliable base starts here.

4

Harmonization

Standardization of SKUs, customers, channels, and geographies so data becomes comparable across sources.

5

Data Asset Creation

Generation of structured, usable datasets for analytics, benchmarking, and eventual monetization.

A, Information Infrastructure
B, Commercial Intelligence Engine
B
Commercial Intelligence Engine

We convert visibility
into commercial decisions.

Thirteen analytical capabilities that turn structured commercial data into prioritized decisions, organized in four families. Trade-offs made explicit. Decisions, not reports.

Pricing simulator, scenario modeling interface
Pricing & scenario modeling interface
Client coverage map
Client coverage map
B, Commercial Intelligence Engine
C, Execution & Value Capture
C
Execution & Value Capture

We stay until
the value is captured.

Most engagements stop at the recommendation. Arm C is where the work becomes real, intelligence translated into field action, measured against baseline, and fed back into the operation.

The distance between a good analysis and a measurable commercial result is where most consulting engagements fail. We do not hand off a deck and disengage.

Two ways we execute

We operate the intelligence engine, or we equip your team.

Execution is delivered in two modes, depending on where it is needed.

Operators

We operate the engine

In capabilities like Concierge or Market Signal, Imberion operates the intelligence engine end-to-end. Concierge runs omnichannel customer interaction (takes orders, recommends, and serves) through the Companion, a conversational layer with live dashboards; Market Signal runs the market radar. AI does the work; we operate the engine. Nothing to operate on the client side.

Enablers

We equip your team

When the work belongs inside your organization, we build the capability: ways of working, RGM playbooks, dashboards, and governance, so your team runs the operation and the decisions stick.

Decision Translation

Analysis into prioritized actions

B output converted into a specific, sequenced action list, what gets done first, what gets done second, what does not get done at all, with responsible owners and timelines.

Action Plans

Decisions into concrete plans

Decisions structured into field-ready plans by commercial, trade, key account, and territory, with the specificity required for execution, not just communication.

Field Enablement

Working alongside execution teams

We do not hand off the plan. We work alongside the teams responsible for execution until the logic operates on its own, training, real-time support, and adaptation when field signals reveal gaps.

KPI Tracking

Measuring what actually happened

Performance dashboards and cycle-by-cycle variance analysis built in from the start. Results measured against a pre-defined baseline, not against internal perception of progress.

Governance

Execution discipline across cycles

Structured review cadence, escalation paths, and accountability frameworks to maintain commercial discipline beyond the initial deployment, institutionalizing the logic, not just the output.

Learning Loop

Feeding results back into the operation

What Arm C learns in execution is not lost. Structured and returned to the analytical models, the data infrastructure, and the priority framework, so every cycle is more informed than the last.

The loop closes

Execution feeds the operation.
The operation improves.

Every cycle returns structured learning to Arm A and Arm B, making the data richer, the models sharper, and the decisions more precise. The operation compounds.

A

Information

Market data structured and consolidated

B

Intelligence

Data converted into decisions

C

Execution

Decisions captured in the field

Learning

Results feed back into A & B