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Client stories

Challenge → approach → outcomes you can accept. Real operating contexts for how MICROFACTOR delivers consulting, data science, AI, and marketing.

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Practice paths, not slide decks

Cases are anonymized by industry and describe typical engagement shapes and delivery rhythm. GEO (Metis AI·Thousand Eyes) appears only where marketing visibility is the brief — never as the default storyline.

Client names are anonymized (e.g. “a national retail group”). Representative cases from company materials are client-authorized and desensitized. We do not invent Fortune 500 logos or unauthorized ROI percentages; outcomes are qualitative results and deliverable forms you can discuss in Discovery.

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A national retail groupRetail

Rebuild the member-value loop with operable customer data

Member and transaction data were fragmented across channels. We prioritized scenarios through consulting, then built customer-data and journey-ops capability.

Read case
An FMCG brand (food & beverage)FMCG

Bring assortment and media budget back to one demand judgment

Online, offline, and content platforms pulled assortment and budget in different directions. Demand sensing and scenario workshops restored an explainable decision rhythm.

Read case
A licensed financial institutionFinancial services

Scale knowledge work and client service under compliance constraints

Internal knowledge was scattered and frontline load was high, while blunt automation was blocked by compliance. Governance first, then auditable knowledge assist.

Read case
A consumer brand (marketing scenario)FMCG / retail marketing

Be seen and understood correctly in generative answers

Brand presence in major LLMs and answer engines was inconsistent or missing. GEO (Metis AI·Thousand Eyes) built a measurable visibility and representation loop — explicitly a Marketing product path.

Read case
A leading healthcare enterpriseHealthcare & pharma

Healthcare · AI smart outbound calling

Built an AI outbound system for a leading healthcare firm: multi-turn dialogue, verification, ticket routing, and deep CRM / scheduling integration — moving follow-ups and appointment reminders from manual volume to operable process.

Read case
An e-commerce companyRetail

E-commerce · AI inventory forecasting

Built AI inventory forecasting and dynamic replenishment advice for an e-commerce company, integrated with supply-chain systems — improving sell-through and stockouts with more agile response.

Read case

All cases

A national retail groupRebuild the member-value loop with operable customer dataMember and transaction data were fragmented across channels. We prioritized scenarios through consulting, then built customer-data and journey-ops capability.
An FMCG brand (food & beverage)Bring assortment and media budget back to one demand judgmentOnline, offline, and content platforms pulled assortment and budget in different directions. Demand sensing and scenario workshops restored an explainable decision rhythm.
A licensed financial institutionScale knowledge work and client service under compliance constraintsInternal knowledge was scattered and frontline load was high, while blunt automation was blocked by compliance. Governance first, then auditable knowledge assist.
A discrete manufacturing companyTurn quality and process signals into actionable alerts — not after-the-fact reportsQuality insight lagged line decisions. We started from acceptanced alert scenarios and connected process, QC, and planning data with a response loop.
A provincial telecom operatorFrontline service intelligence: speed without sacrificing explainabilityComplex plans and policies drove high frontline cost. We started with knowledge and ticket assist — citations, review, and monitoring — not unattended replacement.
A travel & hospitality groupConnect yield, experience, and frontline service with ops intelligenceChannel, order, and service data were split; experience issues closed slowly. We focused on ops views and service intelligence; GEO only as an optional marketing add-on.
A public-service organizationExplainable decision support inside clear data boundariesMulti-system data was hard to assemble; briefing packs were hand-stitched. We started with boundaries and governance, then delivered explainable analysis products — not black-box forecasts.
A consumer brand (marketing scenario)Be seen and understood correctly in generative answersBrand presence in major LLMs and answer engines was inconsistent or missing. GEO (Metis AI·Thousand Eyes) built a measurable visibility and representation loop — explicitly a Marketing product path.
A leading healthcare enterpriseHealthcare · AI smart outbound callingBuilt an AI outbound system for a leading healthcare firm: multi-turn dialogue, verification, ticket routing, and deep CRM / scheduling integration — moving follow-ups and appointment reminders from manual volume to operable process.
An e-commerce companyE-commerce · AI inventory forecastingBuilt AI inventory forecasting and dynamic replenishment advice for an e-commerce company, integrated with supply-chain systems — improving sell-through and stockouts with more agile response.

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