VIKIDATA FOR RETAIL & CONSUMER

Turn fragmented customer, product and supplier data into trusted experiences.

VikiData creates trusted customer, product and supplier context so analytics and AI can operate on consistent enterprise information across stores, ecommerce, loyalty, marketplaces and digital channels.

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The challenge

Why this industry needs trusted enterprise context.

Customers exist in multiple systems

One shopper can appear differently across ecommerce, loyalty, CRM, POS, mobile apps and customer service.

Product and supplier information is inconsistent

SKUs, categories, supplier identifiers and attributes can differ across systems.

AI personalization depends on trusted context

Recommendations and customer-facing agents are only as good as the enterprise context behind them.

Data quality problems affect revenue

Incorrect product, inventory or customer information can create poor experiences and lost sales.

How VikiData helps

Apply one connected platform to the industry's highest-value data and AI problems.

Customer 360

Resolve fragmented customer identities across channels and create governed customer context.

Product & Supplier Mastering

Standardize product, supplier and reference data across systems.

Intelligent Relationship Graph

Understand relationships across customer, product, order, supplier, contract and payment.

Data Quality & Trust

Detect duplicates, anomalies, freshness issues and inconsistent records before they affect analytics or AI.

Conversational Enterprise Intelligence

Allow teams to ask questions across governed enterprise information using natural language.

AI & Agent Governance

Control AI-driven recommendations or actions using data trust, policy and evidence.

POS ECOMMERCE CRM LOYALTY | | | | └────────────┴────────────┴──────────┘ ↓ FERN ENTITY RESOLUTION ↓ CUSTOMER 360 ↓ TRUSTED RETAIL CONTEXT ↓ ANALYTICS / AI / AGENTS ↓ GOVERNED CUSTOMER ACTION

Business outcomes

What better data trust can change.

Create a trusted Customer 360.
Improve product and supplier consistency.
Strengthen personalization with governed data.
Detect quality issues before they affect customers.
Give analytics and AI a consistent enterprise context.
Make AI-driven actions traceable and reviewable.

Customer perspective

“VikiData helps us connect and govern the data behind order-to-cash, fulfillment and analytics so teams can move faster with trusted information. By reducing processing delays across platforms such as Oracle and Snowflake, our users can spend more time on analytics and customer outcomes.”

Data Scientist — Retail & Consumer