
Queue Abandonment
Reports only show “one less transaction.” The reason — a long queue at checkout — is never captured.
Watches your stores, runs the numbers, and pushes the next action before you ask. Seven AI operators on duty — helping you spend less, work smarter, and staff lighter.
单店版解决「这家店今天怎么样」,集团版解决「这一百家店整体怎么样、该往哪调」。两版共用同一套门店能力与边缘硬件。
Queue abandonment, cold-chain exceptions, night risks, and fragmented data already hurt performance before anyone notices.

Reports only show “one less transaction.” The reason — a long queue at checkout — is never captured.

Fridge temperature swings and hygiene issues rely on manual rounds, often found too late.

After-hours incidents are usually reviewed next morning, when prevention is no longer possible.

Cameras, POS, and IoT each speak their own language. The store manager has to connect the dots.
MartFlow turns scattered signals from cameras, POS, sensors, and devices into clear, manageable operations.
Each engine works standalone and better together, unified by the MartFlow operating system.

Count entries and exits, measure dwell time, identify hotspots, and trace movement paths — without extra sensors.

Morning reports, queue alerts, task dispatch, and closed-loop follow-ups keep the team aligned.

Cold-chain exceptions, intrusion detection, hygiene compliance, and after-hours monitoring become proactive.

One protocol bus for cameras, sensors, POS, and access control. Remote diagnostics and OTA updates reduce truck rolls.

Trend dashboards, store benchmarking, and scheduled exports give HQ the full picture.
MartFlow extracts structured, privacy-aware data from standard cameras, so you can measure what matters.
Accurate in/out counting, occupancy limits, pass-by traffic, and visit-frequency segmentation.
See where customers stop, linger, and ignore — optimize shelf placement and promotions.
Trace customer journeys across the floor to understand flow and bottlenecks.
Gender, age, repeat-visit, and satisfaction signals that turn anonymous traffic into audiences.
Forecast footfall from history, weather, and holidays; trigger peak, crowding, and queue warnings.
Measure how long customers stay in each zone and shelf, spot dead corners, and time promotions to peak dwell moments.
MartFlow AI Assistant turns live footfall, environment, device, and incident data into plain-language answers and next actions. No dashboards to learn — just ask.
Whether you run 10 convenience stores or 1,000 supermarkets, MartFlow adapts to your operation.
Manage checkout peaks, fresh-zone compliance, and multi-zone security across large footprints.
Lightweight deployment for high-turnover sites with minimal on-site IT.
Ensure prescription-area compliance, queue privacy, and sensitive-zone access control.
Monitor dining-area flow, kitchen hygiene, and service speed with visual evidence.
See trial-product loss, counter footfall, and member recognition in the experience zone.
Manage fitting-room queues, window appeal, and loss-prevention linkage to lift conversion.
Protect high-value items, measure demo-desk engagement, and analyze footfall-to-sales conversion.
Care for sensitive zones, cart pathmaps, and member repurchase insights for young families.
From floor devices to daily operations, each layer has a clear job: sense, connect, interpret, and present.
MartFlow is not a patchwork of tools. It is a single stack where every layer knows how to talk to the others.
Critical sensing and logging continue locally. When connectivity returns, records sync back — no repeated configuration, no lost evidence.
MartFlow exposes the same primitives we use internally, so ISVs, device makers, and enterprise IT teams can build on top.
Use MQTT topics, REST APIs, and MCP Server adapters to publish events, receive alerts, and query store intelligence. No proprietary SDK required.
下列为基于产品能力的典型场景测算,用来说明 MartFlow 在不同业态里能做什么、能带来什么,不是已交付客户的实测业绩。真实标杆案例与成效数据可联系我们获取。

门店端逐时运营分析加异常置顶,集团端 8 项老板视角指标看板,异常从发现到派单形成闭环。

分区客流与停留分析定位冷区与瓶颈,配合缺货与临期识别调整陈列与补货节奏。

集团端统一看板与跨店对标,食安与冷链异常按分级推送到店,高峰期人力排班跟随客流。

库存水位与补货建议自动生成,效期与陈列合规巡检,收银与交易异常可回溯取证。
Templates, rules, and management views scale with your business. What works in one store becomes the standard for the chain.
Seven AI agents form a 7×24 operations team — they watch, manage, and run the stores.
AI morning brief, live store view, exceptions surfaced automatically, and plain-language Q&A — the manager runs the whole store on one screen, without switching between systems.
Learn more →Seven agent consoles, chain-wide overview and benchmarking, alert command, one-tap strategy dispatch, and live remote supervision.
Learn more →Retail operations move through three waves
Everything depends on the manager being on site
Data became visible, but insight and decisions still depend on people
Seven AI agents form an AI operations team — 100 stores run with the efficiency of 10. Open MCP onboarding for any vendor device, Token-based capability access.
Book a demo and we will walk you through a live scenario tailored to your retail format — supermarket, convenience, pharmacy, or specialty chain.
We usually reply within one business day.
Our team will contact you within one business day.