Your data lives in 12 systems.
None of them agree.
POS says one thing. Inventory says another. Finance reconciles by hand every month. Without a unified data layer, every AI initiative is built on sand. We design the architecture that makes your data AI-ready.
You can’t run AI
on data that contradicts itself.
Every system has its own schema, its own update cadence, and its own definition of a “store” or a “transaction.” POS in one vendor’s cloud, inventory in a legacy WMS, finance in an eight-year-old ERP, marketing in a stack nobody can access, labor in a tool with no API.
A data lake isn’t a nice-to-have. It’s the prerequisite for everything else.
“What’s our margin by category by region?” takes two weeks to reconcile by hand.
Demand forecasting trained on inconsistent data produces inconsistent forecasts.
Shrinkage detection can’t cross-reference POS and inventory in real time.
AI doesn’t fix fragmented data. It amplifies the problem at scale.
One intelligence layer.
Every system feeding into it.
We design the full architecture, ingestion to transformation to serving, around your actual systems and use cases. Platform-agnostic: Snowflake, BigQuery, Databricks, Redshift.
Streaming ingestion for POS and inventory, batch for finance and marketing.
One definition of a store, a transaction, a SKU. No more reconciliation spreadsheets.
Validation rules, alerts, and quality scoring built in, so you know a feed broke before your forecasts do.
A platform matched to your existing footprint, team skills, and budget. No vendor lock-in by default.
Architecture you can hand
to your engineering team tomorrow.
No theory. Technical specs, architecture diagrams, vendor comparisons, and a phased implementation plan, ingestion to serving.
Entity definitions, relationships, normalization rules.
Pipeline design with vendor evaluation and cost estimates.
Quality rules, access controls, compliance.
Projected storage, compute, ingestion at your scale.
Entity definitions, relationships, and normalization rules across all systems, plus an ETL/ELT design with vendor evaluation, cost estimates, and sequence.
Quality rules, monitoring alerts, access controls, and compliance, plus a platform recommendation with projected storage, compute, and costs at your scale.
We built the pipelines
before we advised on them.
Ward’s platform ingests POS, inventory, ERP, marketing, and finance data through the brittle, mismatched systems retail actually runs on. You get the architecture we ship against, not one drawn on a whiteboard.
Your data should work together.
One unified data layer. Every system feeding into it. Designed for the AI workloads you need tomorrow.
Find out what your data has been hiding.
Tell us about your operation. We’ll show you the problems Ward catches, and the ones your current tools miss.