STEAMEE:Data-Driven Operations & Marketing Analytics

    Client
    01About the Client

    Modernizing the Ironing Industry

    Steamee is an emerging, tech-enabled D2C ironing and garment care ecosystem. Operating across a network of 19 retail stores and localized ironing workshops, Steamee manages last-mile pickups and deliveries using their proprietary mobile application, WhatsApp channels, and call centers. Their mission is to modernize and structure the highly unorganized ironing industry through standardized workflows, doorstep convenience, and a scalable, franchise-friendly operational model.

    02The Challenge

    Data and Operational Gaps

    With thousands of recurring customers and dynamic daily order streams, Steamee faced major operational and analytical challenges:

    01
    Doorstep logistics were unoptimized, causing customer friction.
    02
    No structured mechanism existed to measure pressman productivity or rider utilization.
    03
    The customer onboarding journey suffered from undocumented drop-offs, making marketing to dormant users impossible.
    04
    The existing admin portal was plagued by duplicate KPIs yielding conflicting totals for sales.
    05
    Critical portal software bugs caused negative order counts in the analytics APIs.
    06
    Leadership had zero visibility into prepaid wallet outstanding liabilities and unutilized cash floats.
    Our Solution

    Unified BI & Marketing Blueprint

    We designed and delivered an enterprise-grade analytics specification blueprint and integration mapping to resolve data clutter and establish a robust, role-based decision command center.

    Module · 01

    Unified Specification Sheets (13 Tabs)

    We structured a clean, page-by-page frontend UI spec detailing all 11 core dashboards. Every visual element, headline card, and grid is mapped with its Target Role, Available Filters, and Suggested Visualization.

    Module · 02

    MoEngage Event Schema

    We mapped a comprehensive custom user event schema covering the 4 lifecycle stages: Acquisition, Activation, Retention, and Referrals. We also standardized custom user profile attributes to create dynamic segments.

    Module · 03

    Dual-Architecture Strategy

    We provided two parallel implementation pathways: (1) Portal + MoEngage for custom in-house dashboard screens, and (2) Metabase + MoEngage for fast SQL-based panels on top of the Postgres database.

    Module · 04

    API Gap Analysis & Reconciliations

    We audited 130+ metric requests and mapped them to database fields. We consolidated 8 groups of duplicate metrics into single definitions, and identified the exact 7 backend APIs needed to plug operational data gaps.

    The Outcome

    Results & Impact

    Guaranteed
    Metric Alignment
    Structured
    Mapped KPIs
    Actionable
    Dashboard Specs
    Seamless
    Blindspots
    • Consolidated all duplicate views (sales, AOV, active segments) into single canonical definitions locked in the database.
    • Identified and flagged 4 major portal bugs and 4 critical data gaps before dashboard construction began.
    • Mapped and categorized all deliverables into P0, P1, and P2 priorities, enabling faster rollout.
    • Reconciled customer lifecycle recency windows with MoEngage triggers, enabling automated push campaigns for dormant users.
    "

    "The analytics blueprint and MoEngage integration specs were exactly what our engineering and marketing teams needed. It resolved our duplicate metrics, gave us a clear division of work... and saved us months of development planning."

    Founder & Leadership Team, Steamee
    Why It Works

    Bridging the Data Gap

    The Steamee data project succeeds because it bridges the communication gap between business goals and technical execution. By delivering a highly structured, role-based UI blueprint and exact SQL formulas before any coding began, we eliminated the developer guesswork that typically results in broken filters and incorrect aggregations. Furthermore, by mapping MoEngage events alongside internal database queries, we provided an integrated operational and marketing system.

    AI-EngineeredProduction-ReadyScalableOutcome-Driven