Reduce stockouts, prevent overstock, and turn supply chain data into decisions your teams can act on

In retail, inventory is money—sitting on shelves, stuck in transit, or lost in inaccurate system views. The hard part isn’t collecting supply chain data. It’s making it reliable, timely, and usable across planning, procurement, warehousing, and storefront availability.

QSET helps retail, e-commerce, and consumer businesses build supply chain and inventory intelligence—combining data platforms, analytics, and AI-driven signals so teams can see what’s happening early and respond before it impacts revenue, customer experience, or working capital.

Who We Serve

Retail and consumer teams balancing demand, availability, and working capital

  • We work with:

    • Omnichannel retailers managing store and warehouse inventory at scale
    • E-commerce and marketplaces dealing with fast-moving demand and fulfillment pressure
    • FMCG and consumer brands improving distribution and sell-through visibility
    • Retail distributors and supply networks optimizing replenishment and allocation
    • Retail tech platforms building planning and inventory intelligence capabilities

    If your organization runs on supply chain accuracy, inventory intelligence is not optional—it’s strategic.

The Inventory Reality

Most inventory issues are visibility and decision-timing issues

Common challenges include:

inventory data spread across ERP, WMS, OMS, POS, and marketplaces

“available stock” that isn’t actually available due to reservations, returns, and in-transit complexity

delayed or inconsistent demand signals across channels

replenishment decisions made with incomplete, outdated information

weak exception handling—teams discover problems after stockouts happen

high working capital locked in slow-moving or misplaced inventory

limited insight into vendor performance, lead time variability, and fulfillment bottlenecks

QSET helps you unify signals across systems and create intelligence that supports faster, smarter decisions.

What We Deliver

End-to-end supply chain and inventory intelligence systems

We build the data foundation and intelligence layer needed to improve availability, planning, and operational control.

Core solution areas

Unified Inventory Visibility Layer

Reliable inventory truth across warehouses, stores, marketplaces, and in-transit with clear definitions and reconciliation logic.

Supply Chain Data Platform Engineering

Modern data platforms, governed pipelines, quality checks, and lineage across ERP/WMS/OMS/POS and partner feeds.

Demand & Replenishment Intelligence

Demand signals, seasonality patterns, replenishment recommendations, and early warning alerts for stockouts and overstocks.

Allocation & Distribution Analytics

Smarter allocation across regions, channels, and fulfillment nodes to improve sell-through and reduce missed demand.

Vendor & Lead Time Performance Intelligence

Tracking variability, delays, OTIF patterns, and supplier reliability to improve planning assumptions.

Exception Management & Operational Dashboards

Visibility into inventory health, aging, fill rates, backorders, cancellations, and root-cause signals.

Data Platform Cloud Enablement

Forecasting, stockout risk prediction, anomaly detection, and alerting that improves timing and decision quality.

Enterprise Integration (Including SAP Where Relevant)

Integration with SAP and enterprise workflows for procurement, finance, and operations when required for end-to-end control.

How QSET Builds Inventory Intelligence

Designed to reduce noise and increase decision confidence

Inventory intelligence only works when teams trust it. Our approach focuses on:

One consistent inventory truth – clear definitions for on-hand, reserved, in-transit, and sellable stock

Data quality and reconciliation built in – automated checks, exceptions, and lineage

Signals over spreadsheets – alerts and dashboards that tell teams what changed and what to do next

Integration discipline – stable data flows across systems and partner feeds

Incremental rollout – improve visibility first, then add prediction and automation

This creates a system that improves planning outcomes without disrupting operations.

Common Use Cases

Where supply chain intelligence improves revenue and working capital

We commonly support:

  • improving inventory accuracy and sellable stock visibility
  • reducing stockouts through early warning and better replenishment
  • identifying slow-moving inventory and optimizing liquidation decisions
  • reducing cancellations by aligning availability with fulfillment reality
  • optimizing allocation across stores, warehouses, and channels
  • monitoring vendor reliability and lead time variability
  • creating executive dashboards for inventory health and supply performance
  • enabling analytics foundations for predictive retail planning

If your teams are firefighting inventory daily, intelligence is the quickest path to stability.

Impact Snapshots

What changes when supply chain decisions are data-driven

When inventory intelligence is engineered properly, teams typically see:

fewer stockouts and fewer missed sales due to better timing

reduced excess inventory and improved working capital efficiency

fewer cancellations and better customer experience

improved replenishment and allocation confidence

stronger supplier accountability through performance visibility

faster issue resolution through exception signals and traceability

Data & AI for Supply Chain Decisions

Use prediction to act earlier—without creating new risk

QSET helps you introduce AI where it drives measurable outcomes:

demand forecasting and sell-through signals

stockout risk and overstock risk prediction

anomaly detection for inventory drift, shrinkage signals, and fulfillment issues

lead time forecasting and supplier risk signals

GenAI copilots for operational reporting and exception summaries (with guardrails)

AI works best when it sits on governed data and clear workflows—so insights lead to action.

Technology Foundation

Tool-agnostic, but strict about data integrity and maintainability

We work with your environment and recommend what fits your scale.

Common ecosystems include:

  • Data platforms: Databricks, Snowflake, BigQuery, lakehouse architectures
  • Pipelines & orchestration: Spark, Airflow, dbt, Kafka, event-driven patterns
  • BI & analytics: Power BI, Tableau, Looker, embedded analytics
  • AI/ML: Python, modern ML frameworks, feature stores where useful
  • Cloud & DevOps: AWS, Azure, GCP, Kubernetes, Terraform, CI/CD
  • Enterprise systems: ERP/WMS/OMS connections, including SAP where relevant

Why QSET

Supply chain intelligence requires strong data engineering—plus practical retail thinking

  • QSET is trusted because we:

    • build inventory truth layers that teams can depend on
    • connect supply chain systems and partner feeds with integration discipline
    • engineer data quality and lineage so reporting stands up to scrutiny
    • deliver predictive signals with monitoring and governance
    • modernize incrementally so operations keep running smoothly

    Credibility note: QSET has supported 500+ technology initiatives across India, the US, and the UAE, including data-heavy environments where accuracy and reliability drive business outcomes.

Engagement Approach

Designed to deliver value quickly and scale across the network

Discover & map
Understand your inventory flows, systems, pain points, and the decisions that matter most.

Unify & standardize
Build the inventory visibility layer with consistent definitions, quality checks, and reconciliation

Deliver insights & workflows
Launch dashboards, alerts, and exception handling tied to replenishment and allocation decisions.

Add prediction & automation
Introduce forecasting and risk signals once the foundation is stable and trusted.

Inventory is where revenue and working capital meet. Make it intelligent.

Let’s build supply chain and inventory intelligence that reduces stockouts, prevents overstock, and gives teams earlier signals to act—across channels, warehouses, and markets.