For Consumer Brands, D2C Leaders & Multi Location Operations

Unify customer intelligence & RevOps consistency: across every location.

Knowledge graphs that connect purchase history, support tickets, and browsing behavior to power hyper personalized experiences: while every location runs the same playbook with the same efficiency.

See client results

✓No obligation. In 30 minutes we’ll show you 3 places customer data is costing you revenue.

10K+ locations supported · +30% AOV · hundreds of n8n builds

Award-winning AI projects delivered for enterprise clients.

Outcomes · measured in productionclient data · verified against baselines
AOV
30%
Average order value increase
CHURN
15%
Average churn reduction
LOCATIONS
10K+
Locations supported

Trusted by consumer brands, retailers, franchises & subscription businesses.

Sound familiar?

These are the three problems brands teams bring us most often. If any of them stings, the consult will pay for itself.

1

Your 360° customer view is broken

Purchase data is in Shopify, support in Zendesk, browsing in GA4. You have data everywhere: and insights nowhere.

2

Location inconsistency is costing you

Some locations convert at 30%, others at 5%. You don’t know why, and you can’t fix what you can’t see.

3

Marketing spend is leaking

You pay for clicks and calls, but without proper capture, nurture, and tracking, that spend evaporates before it becomes revenue.

What we build for multi-location brands

Every engagement is scoped from your strategy consult: these are the systems it usually leads to.

Unified Customer Graph

Shopify, Zendesk, GA4, POS and loyalty connected into one governed graph: every customer, one record, everywhere.

Explore customer graphs →

Multi Location RevOps (GHL + n8n)

Every location runs the same brand consistent playbook (capture, nurture, booking and reviews) automated around the clock.

See the playbook automation →

Personalization & Prediction

Recommendation engines, churn prediction, and demand forecasting built on the graph: sequenced by ROI.

Get the roadmap →

Know your customer across every touchpoint

We build knowledge graphs that unify your customer data from every source: then put it to work.

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Unified customer graphs

Purchase history, support tickets, browsing behavior, and loyalty data: connected.

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Hyper personalization

Recommendations, content, and offers driven by the complete customer picture.

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Predictive analytics

Forecast customer behavior, spot churn risk, optimize marketing spend.

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Churn prediction

Identify at risk customers before they leave and trigger retention flows automatically.

Predict demand, not just sales

For larger retailers and franchises the challenge isn’t just acquisition: it’s inventory, supply chain visibility, and demand forecasting.

✓

Demand forecasting

Forecast fluctuations with 90%+ accuracy using a graph that connects inventory, logistics, and supplier data.

✓

Inventory optimization

Optimize stock levels across all locations: reduce waste and stockouts at the same time.

✓

Supply chain visibility

See the whole chain in one graph and catch bottlenecks before they happen.

✓

Seasonal prediction

Predict spikes and troughs; plan inventory and staffing with confidence.

The result: fewer stockouts, less waste, and higher margins.

⚡Promise 1 · One truth

Five systems. One answer.

A governed knowledge graph connects your CRM, ERP and warehouse: disagreements between systems surface once, get resolved once, and stay resolved.

✦Promise 2 · Compounding savings

Each automation funds the next one.

We sequence the roadmap by payback speed: phase one’s savings pay for phase two. Value lands every quarter, not in 2029.

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No rip and replace

Your CRM and ERP stay. The graph connects them; the contradictions go.

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Automated with n8n

Enterprise grade workflows running 24/7 between your systems.

✓

Validated in parallel

Every automation runs beside the manual process until it proves itself.

⬡

Sequenced by ROI

Quarterly checkpoints: stop at any phase and keep the value delivered.

1Client request + advisory

Not “what do you want?” Here’s what works.

We don’t open with a 40 page intake form. Your request lands; senior specialists reply with a concrete shape, drawn from every comparable system we’ve shipped. Recommendations, not interrogation.

SO

Sarah O’Brien · VP of E commerce · Global Fashion Retailer

“Our 360 degree customer view is broken. Purchase data is in Shopify, support in Zendesk, browsing in GA4. We need a unified graph to power our new personalization engine.”

audit · 30 min  →  scoped plan · week 1Epic: One customer graph
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Advisory · Agentic Giants senior team

Drawn from our work with multi location brands

For a brand like yours, we recommend:

  • GRAPH

    Knowledge graph layer on your current stack Shopify, Zendesk and GA4 stay: the graph connects them, no replatform.

  • PERS

    Personalization engine that finally works recommendations and offers driven by the complete customer picture.

  • GHL

    Same playbook, every location GHL + n8n flows keep capture, nurture and reviews brand-consistent.

  • ROLL

    Pilot → phased rollout prove it at one location, then scale: zero operational disruption.

Outcome: 30% increase in average order value · 15% reduction in customer churn.

Drawn from our knowledge base of past engagements: the same graph technology we sell.

How it works

Three steps, no sales pressure at any of them. You keep the roadmap whether or not we ever work together.

  1. 1

    30 minute strategy consult

    We map your systems and the manual work between them, and identify where the money is leaking.

  2. 2

    Written findings report

    Three documented savings of $50K+ each, sequenced into a roadmap you can execute quarter by quarter.

  3. 3

    Unify, then automate

    We connect the graph first, prove one source of truth, then automate the reconciliation work: savings compound each phase.

Brands questions, answered

Yes, and the constraint is almost never the model. Custom AI agents for hyper-personalisation need one customer graph: identity resolved across commerce, support, product and marketing systems, so the agent reasons over a whole relationship instead of whichever system happened to be queried. The same graph is what makes AI predictive customer lifetime value credible, because the features behind the prediction are traceable. Without it, personalisation degrades into a merge field. If you want this scoped before committing budget, we will write the proof-of-concept specification for an AI content engine with you: the data it needs, the accuracy bar, and what would count as a failure.

Relevant client results

View all case studies →

Ready to see every customer in one graph?

One 30 minute strategy consult. We’ll map where your customer data lives, where revenue is leaking between locations, and deliver a written unification roadmap. The roadmap is yours either way.

✓ No obligation  ·  ✓ Keep the report either way