Bolt Group
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    RETAIL · IoT · Data Engineering · Commerce

    One truth. Every channel.

    Real-time inventory intelligence across 500+ stores.

    NATIONAL RETAIL CHAIN · 500+ STORES // 20 WEEKS // BOLT GROUP

    2×Sales lift year-over-year
    Built with
    Apache Kafka
    Snowflake
    Python
    TensorFlow
    Kubernetes
    Redis
    GraphQL
    AWS
    The situation

    Omnichannel isn't a strategy — it's a data problem. The retailer had 500 stores and three warehouses running on overnight batch syncs. Phantom inventory. Fulfillment failures on one in four orders. Fifteen million dollars leaking out of the business every year.

    Why it mattered
    BatchOvernight inventory syncs
    1 in 4Orders failed fulfillment
    $15MAnnual stockout losses
    PhantomInventory mismatched to reality
    client
    National Retail Chain · 500+ stores
    duration
    20 weeks
    services
    IoT, Cloud, Data Engineering
    sector
    Retail & Commerce
    The approach

    Four moves, built to compound.

    1. 01

      Event-driven pipelines

      Every inventory movement — sale, return, transfer, receipt — captured in real-time via Kafka across 500+ locations.

    2. 02

      Unified inventory engine

      Centralized service maintains single-truth stock view with sub-second update latency across stores, warehouses, and channels.

    3. 03

      Intelligent routing

      AI order routing selects optimal fulfillment by proximity, stock, shipping cost, and delivery speed — automatically.

    4. 04

      Demand forecasting

      ML models predict SKU-level demand per location, driving smarter replenishment and reducing dead stock.

    Delivery discipline
    • Principal-ledSenior engineers and architects on the keyboard from week one. No staffing pyramid, no handoffs to juniors mid-engagement.
    • Production-firstEvery artefact ships behind a load balancer. We measure success in throughput, latency, and uptime — not slides.
    • Outcome-boundScope, milestones, and acceptance criteria locked at kickoff. We commit to the metric that moves your P&L.
    Technology
    1. 01Apache Kafka
    2. 02Snowflake
    3. 03Python
    4. 04TensorFlow
    5. 05Kubernetes
    6. 06Redis
    7. 07GraphQL
    8. 08AWS
    20 WEEKS · IOT · CLOUD · DATA ENGINEERING · SHIPPED
    The outcome

    What shipped. In production.

    2×
    Sales lift
    Year-over-year
    $0M
    Recovered
    Stockout losses
    <1s
    Update latency
    Batch → real-time
    0+
    Stores
    Live on the platform
    0%
    Demand forecast
    SKU-level accuracy
    20wk
    Delivery
    End-to-end build
    The insight
    "Retail doesn't win on channel strategy. It wins on data latency. Close the gap between event and truth, and the revenue follows."
    BOLT GROUP // PARTNER'S NOTE // BOLT GROUP // PARTNER'S NOTE // RETAIL
    How we engage

    Three shapes. One delivery standard.

    A / Fixed-scope build

    Defined outcome. Fixed price.

    We scope, build, and ship a discrete production system end-to-end. Best when the brief is sharp and the deadline is real.

    B / Retained capacity

    Embedded pod. Monthly cadence.

    A senior pod plugs into your team for a multi-quarter horizon. Roadmap evolves; the engineers stay constant.

    C / Advisory & audit

    Senior eyes. Surgical scope.

    Architecture review, model audit, or technical due diligence. Days to weeks. Written recommendations, not slideware.

    Start the conversation

    Let's build what's next.

    No SDR queue. No discovery deck. Pick a slot or send a note — Dean replies within four business hours.

    01 — SynchronousBook a 30-min callcalendly.com/d/cymx-83d-tym
    02 — Asynchronousdean@boltgroup.io