Concept brief · for joint review

FOMEDA Data
Intelligence a three-way build.

Basic Insight
× IPSOS Malaysia
× Evolve Consulting
v0.1 · 2026

Turning FOMEDA member data into a recurring monthly intelligence engine — co-built, co-owned, co-commercialised.

The thesis

FOMEDA members — Harvey Norman, Senheng, Courts, SenQ and every dealer beside them — generate the purest consumer-demand signal in the country: every SKU sold, every return, every warranty attached, every outlet, every month. Today that data sits inside each chain's POS, compared to nothing. A joint build across three partners turns that monthly flow into benchmarks, early category & supply signals, and decision-ready recommendations for every dealer. The collaboration works because each partner holds exactly the piece the others cannot build cheaply.

How it works
01 · CONTRIBUTE
POS upload

Dealers submit standardised POS extract (or direct connector for national chains). Format enforced at source.

02 · INGEST
Secure pipeline

SKU-level records anonymised, validated, versioned — routed into IPSOS on-premise infrastructure.

03 · PROCESS
Method + AI

IPSOS retail methodology + Basic Insight AI engine link POS behaviour to consumer sentiment & macro signals.

04 · DISTRIBUTE
Two audiences

Dealer portal (benchmarks + recs) · IPSOS retail-insight desk (syndicated view). Same source of truth.

Roles — no overlap by design
Basic InsightTechnical
POS ingestion pipelines, SKU-level anonymisation, AI / recommendation engine, dealer-facing portal, retail analytics front-end. Existing stack (bmresearchmy, kai.research.my) compresses build from months to weeks.
IPSOS MalaysiaInfra + Method
On-premise compute, retail and consumer research methodology, sector authority, data governance comfort, syndicated retail barometer rights (consumer-brand buyers: Panasonic, Samsung, LG, Sharp, Sony, Daikin).
Evolve ConsultingCommercial
FOMEDA leadership relationship, dealer onboarding, POS-integration change management, commercial packaging, account management, advisory pull-through (supplier negotiation, category strategy, pricing).
What each party walks away with in 12 months
IPSOS
Anchor data asset

Recurring defensible dataset. Sector authority. Softens project-cycle.

Evolve
Strategic retainer

Embedded advisor across a federation of members. Pull-through mandates.

Basic Insight
Flagship reference

Named co-build. Unlocks every other federation conversation nationally.

FOMEDA
Reason to exist differently

Advocacy body → data-first federation. Measurable member ROI.

Commercial frame

Four revenue surfaces, layered so no partner is single-threaded: federation subscription (paid centrally or sponsored) covers infra and baseline; dealer tier add-ons for deeper chain-specific diagnostics; syndicated retail barometer rights retained by IPSOS, sold into consumer-brand buyers who today pay for far weaker datasets; advisory pull-through as the highest-margin layer — supplier negotiation, category strategy, pricing. Revenue share negotiated against contribution and risk, not headcount.

The ask

One joint working session — to validate the role split, agree the pilot category (our lean: large appliances or air-con) and 3–5 anchor dealers, and align on the commercial split before a joint approach to FOMEDA.

BASIC INSIGHT
wan@basicinsight.my