Retail - ecommerce - FMCG
Fragmented members and transactions, assortment vs. budget debates, forecasts that never reach execution — need weekly customer and demand decision cadence.
Consulting
Take AI from proof-of-concept to acceptanced production systems. Process and operations intelligence as the spine — one team for judgment and engineering across insight, design, build, and scale. We deliver capability that can enter a weekly operating rhythm, not slide-deck pilots.
MICROFACTOR - transformation partnership across retail & ecommerce, FMCG, finance, manufacturing, telecom, travel, public sector, and healthcare.
Teams that need AI inside operations and the front line: business owners, digital/data platforms, service & ops, risk & compliance — not audiences that only buy a roadmap.
Fragmented members and transactions, assortment vs. budget debates, forecasts that never reach execution — need weekly customer and demand decision cadence.
Heavy frontline load and fast-changing policy knowledge; knowledge assist, outbound, and service intelligence inside audit-ready boundaries.
Late quality signals, slow experience handoffs, long cross-system data cycles — explainable alerts, ops views, and decision support, not black-box dashboards.
Fault lines we see repeatedly in delivery — technology alone is rarely the only blocker.
Personalization, alerts, or assistants demo well but never enter weekly ops — missing acceptance language, owners, and handoff runbooks.
Members, inventory, quality, and tickets live in silos; leadership lacks a shared fact base, so budgets and responses lag.
Generic LLM assistants face hallucination, audit, and no-auto-decision domains; teams lack clarity on assist vs. must-human.
Roadmaps and engineering sit with different parties — integration, acceptance, and post-go-live iteration have no owner.
AI transformation rarely stalls on technology alone; the real gap is between business judgment and engineering execution. The team that writes the roadmap is the team that builds — we don't hand over a strategy deck and walk away.
IT consulting depth
Years of consulting and engineering, focused on AI delivery
Consulting + engineering
One team for judgment and build
Long-term partnership
Iterate after go-live so capability keeps evolving
Organized around operating agendas — not a tool catalog. Forge, the enterprise knowledge console, sits on this path under knowledge and frontline assist. Marketing GEO is a separate product line and can combine when relevant.
Reverse-engineer 2–3 acceptanced scenarios from business goals: readiness, priority, value hypotheses, and staged investment alignment.
End-to-end flow redesign and human–AI collaboration; wire workflows and tickets into systems teams already run — with monitoring cadence.
Segments, demand sensing, inventory and quality signals, metric dictionaries — explainable and operable first; no one-shot “unify everything” promise.
Governance-first retrieval, agent assist, and smart outbound; Forge as the enterprise knowledge console for citation, review, and handoff. Traceable answers — not black-box ops.
Themes from anonymized consulting-line cases: challenge → approach → acceptanced outcomes. No invented Fortune names or unauthorized ROI.
Both are MICROFACTOR professional capabilities. Consulting covers transformation, AI, data, and platforms. GEO (Metis AI) is one Marketing solution — buy either or combine. Marketing products do not replace ops or data programs.
All four steps: insight, design, build, and scale. Planning recommendations are not the end state; production-ready capability is the delivery standard — one team judges and delivers.
No. Implementation and publish milestones need client confirmation — no black-box ops.
Consulting
Share industry, goals, and current blockers — we schedule Discovery against similar practice themes. No short-cycle score promises or invented ROI.