BZ · Retail & E-Commerce

Bazaar.
iQuantile for Retail & E-Commerce

Omni-channel was a slide. We built the infrastructure that makes it real. POS, e-commerce, marketplace, mobile, and social fold into one customer graph. One inventory. One margin. One story.

For merchants, marketplaces, and DTC brands carrying PCI-DSS, CCPA/CPRA, GDPR, and product-safety obligations on the same SKU.

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The problem

Every dashboard tells a different story about the same quarter.

Your store inventory does not match your website. Your returns destroy more margin than your last promotion gained. Your customer data lives in nine systems. Personalization is a guess. Marketing attribution is a model nobody trusts.

Loyalty rewards customers who would have bought anyway. Every dashboard tells a different story about the same quarter.

The solution

One inventory, one customer graph, one source of truth.

iQuantile Bazaar makes inventory one number across every channel. Returns are routed by margin, not by default. Telos identifies which customers will churn, which will buy, and which will pay full price. Marketing attribution becomes causal, not statistical. Promotions are modeled before they ship. Every dashboard tells the same story because every dashboard reads the same source. POS, e-commerce, marketplace, mobile, and social fold into one customer graph.

One inventory, every channel

Bazaar makes inventory one number across POS, e-commerce, marketplace, mobile, and social. The shelf and the site agree before the customer notices they disagree.

One customer graph

POS, e-commerce, marketplace, mobile, and social fold into one customer graph. Identity resolved across channels — not stitched in a nightly batch.

Returns routed by margin

Returns are routed by margin, not by default. Telos prescribes the disposition that protects gross profit, not the one that empties the bin fastest.

Causal attribution

Marketing attribution becomes causal, not statistical. The lever that actually moved sell-through is identified — not the one closest to the click.

Personalization that is not a guess

Telos identifies which customers will churn, which will buy, and which will pay full price. Personalization becomes a prescription, not a probability.

Promotions modeled before they ship

Promotions are modeled against the customer graph and the live margin before they ship. Markdowns stop rewarding customers who would have bought anyway.

How Telos works in retail and e-commerce

An example.

A high-margin customer's behavior shifts on a Thursday. The pattern is silent on every dashboard, but Telos catches it. Browse depth declined. Mobile session frequency dropped. A specific category preference shifted to a competitor's brand.

Telos identifies the specific churn trajectory, the specific intervention with the highest probability of saving the relationship, and the lifetime value at risk. The customer is in a personalized retention motion before the customer has decided to leave.

Telos
POS
E-commerce
Marketplace
Mobile + social
Inventory
Returns
Loyalty + CRM
Marketing spend
Behavior shiftBrowse + session signalsCategory driftChurn trajectoryRetention motion
Compliance frameworks active in this industry pack

Pre-configured for the regulators that matter.

8
Controls mapped from checkout to disposal.
01

Payments & data security

02 controls
PCI-DSSFTC cybersecurity guidance
02

Consumer privacy

03 controls
CCPA / CPRAGDPRState consumer privacy laws
03

Product safety & packaging

03 controls
CPSCEU General Product Safety RegulationEU Packaging Waste Directive
The return

What changes for the business.

Inventory carrying cost reduced. Return loss cut. Customer lifetime value increased. Tech stack rationalized by removing redundant martech and analytics tools. Promotional margin recovered.

Inventory carrying cost reduced

One number across every channel. Stock that used to sit in the wrong store, the wrong warehouse, the wrong region — moves to where it sells.

Return loss cut

Returns are routed by margin, not by default. The disposition that protects gross profit is prescribed before the box is opened.

Customer lifetime value increased

Churn caught before the customer decides to leave. Full-price customers identified before the markdown discounts them by mistake.

Tech stack rationalized

Redundant martech and analytics tools removed because every dashboard reads the same source. Promotional margin recovered against the verified customer graph.

The path

Six stages. One continuous arc.

Every Bazaar deployment moves through the same arc — assessment into framework design, implementation into intelligence, verification into growth. No stage is skipped. No deliverable is declared complete until the outcome is verified in the live customer graph.

01Assessment

Channels · Inventory · Customer

Where the customer graph stands today, what the inventory ledger is missing, and what closing the gap looks like in margin terms.

  • POS, e-commerce, marketplace, mobile, and social diagnostic
  • ERP, OMS, and martech gap analysis with reconciliation cost modeled
  • Cost-of-inaction quantified against return loss and markdown exposure
  • Inventory, customer, and margin indicator set with embedded KPIs
  • Regulatory mapping (PCI-DSS, CCPA/CPRA, GDPR, CPSC, EU GPSR)
  • Implementation sequencing tied to season, peak, and merchandising cycle

02Framework Design

PCI-DSS · CCPA · GDPR

Indicators owned by the Chief Merchant and the Chief Customer Officer — signed, not aspirational.

03Implementation

Bazaar · Agents

We stay embedded until the platform produces verified output, not just integration reports.

  • Bazaar configured across channels, ledger live across ERP and OMS
  • Function agents deployed across merchandising, supply, and CX
  • Change management, store training, and headquarters rollout
  • Causal modelling across channel, inventory, customer, and spend data
  • Prescriptive personalization, pricing, and retention motions
  • Continuous learning against the operating ground truth of the chain

04Intelligence

Telos · Q-Core

Telos reasons across the customer graph continuously — prescribing the next move, not describing the last one.

05Verification

Conscience · Evidence

Every claim reconciled against PCI-DSS, CCPA/CPRA, GDPR, and product-safety standards before it leaves the operator.

  • Audit-grade reconciliation against PCI-DSS, CCPA/CPRA, GDPR
  • Customer-data lineage assembled per request — no orphan profile
  • Unverified claims blocked at the system level — no margin guess
  • New channels and marketplaces opened on the verified customer graph
  • Capital instruments underwritten on live operating data, not last quarter
  • Premium loyalty and full-price programs that finally pay back

06Growth

Programs · Capital

Verified output unlocks new channels, new geographies, and capital underwritten on the live ledger.

Ready to see Bazaar?

Demos are tuned to your specific scenario — your channels, your customer graph, your inventory ledger, your regulator obligation. Expect a 14-day intake before the working session.