Business users don’t want charts. They want priorities, root causes, and an action plan—fast. Flowkaze turns fragmented SME data into daily, role-aware decisions you can execute.
SMEs don’t have time to “analyze.” They need what to do next. But they’re stuck with brittle reports, fragmented data, and analyst bottlenecks.
Expensive, overloaded, and rarely available for day-to-day “small” questions.
Charts require time, literacy, and context you don’t have.
Shop, ads, CRM, inventory, support… nothing is unified, especially in SMEs.
You need priorities and actions, not another tool to manage.
No graphs. No BI projects. Just the fastest route from “what’s happening?” to “what do we do now?”
What’s broken or drifting today.
What moves conversion & revenue fastest.
Negative ROI, waste, hidden churn.
Less digging. More shipping.
An AI business consultant, every day.
We don’t “ask an LLM to guess.” We anchor everything in verified data pulls, predefined computations, and human-validated templates—then generate context-aware insights.
API connectors fetch & unify key sources (store, ads, CRM, inventory, support). Data stays under your ownership.
Normalization, deduping, currency/timezone alignment, attribution rules—so insights don’t lie.
Predefined, human-verified algorithms compute KPIs, anomalies, cohorts, funnel leaks, and scenario flags.
Generative AI turns computed facts into role-aware narratives, recommendations, and task-ready checklists. If your question is vague, the agent asks for clarification before concluding.
Daily summary + priorities delivered where teams actually work (email + WhatsApp audio + task dashboard).
The goal is execution. Every insight ends with a recommendation, an owner, and the next step.
Priorities organized by impact, urgency, and owner—ready to distribute across the team.
A crisp summary: what changed, why it matters, what to do now, and expected business impact.
“Here are the 3 priorities for today.” Like a senior analyst—spoken, short, and usable on the go.
Overstock risk isn’t explained the same way as understock. A CRM drop isn’t explained the same way as ad spend waste. The analyst adapts language and recommendations to the scenario and role (founder, marketing, ops).
SMEs need power without risk. Data fragmentation is solved by aggregating under your ownership, with a clear governance layer and predictable outputs.
We aggregate and process with clear ownership and access controls.
Every statement can link back to a computed metric or a raw query result.
Proprietary playbooks designed for e-commerce and retail patterns.
This is built for operators—not “cloud code” experts.
This is not “more analytics.” It’s fewer wasted hours and faster decisions that compound.
Reduce dependency on costly analyst time and heavy BI tooling.
Push-based summaries replace constant dashboard digging.
Find conversion leaks and prioritize highest-impact actions.
Growth without proportional BI hiring or tooling complexity.
Retail and e-commerce SMEs with real operations—and not enough time to become data experts.
Daily priorities + “what to do next” without digging.
Channel-level ROI, creative fatigue, attribution anomalies, quick wins.
Overstock/understock narratives + mitigation playbooks.
Churn signals, shipping friction, product issue clustering, FAQ gaps.
Blunt answers. No hand-waving.
No. The agent is anchored to predefined queries + verified computations. It generates narratives from facts, not guesses.
That’s the point: no. We connect to what you already use and push outcomes in digestible formats.
Most SME data is. We sanitize, normalize, and start with a small set of high-signal metrics before expanding.
Predefined queries, traceability, and “ask clarifying questions” behavior. If information is missing, the agent asks—then answers.
In 30 minutes, we identify your biggest AI growth opportunities, conversion leaks, and quick wins. No fluff. No sales pressure. Just clarity.