Retail Data Analytics

DIAL eXpressive Logic (XL) is an AI-powered data platform designed to democratize natural language access to structured data. Discover how DIAL XL can help empower both business and power users to rapidly ideate, explore, and analyze sales data using natural language at a professional level in real time, fostering a collaborative environment.

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↑2x

Growing adoption by business users

4x

Reduction in IT/analytics support requests

1.9x

Nearly twice as fast insight-to-decision process

65%

Reduced lag between data updates and business decisions

Challenge

Sales teams struggle to access their own data without technical help. When sales managers need insights from their growing datasets, they typically must request reports from analytics teams, creating delays in decision-making. This technical barrier becomes even more problematic when sales data updates frequently or when multiple teams need to collaborate on analysis.

The result is a persistent gap between the questions sales leaders want to ask and their ability to get timely answers from their own business information.

Industry

Retail, CPG

Dev team size

10 developers

Duration

1 year

Solution

DIAL XL democratizes data analysis through a familiar spreadsheet-like interface where users interact with data via a conversational chat-bot powered by DIAL platform with all its underlying governance features.

Behind the scenes, specialized agents process natural language questions, breaking them down into logical steps visible to users, and providing full transparency into AI agents actions. DIAL XL supports human-in-the-loop validation by showing suggested changes before implementation, allowing users to review and approve each AI-generated action.

DIAL XL uses a name-based formula language inspired by traditional spreadsheets but built for scalability and clarity, ensuring analyses remain valid even as datasets grow. Unlike solutions that generate complex code users cannot interpret, DIAL XL generates human-readable formulas and tables to answer queries, automatically determining when visualizations would enhance understanding.

DIAL XL addresses traditional spreadsheet limitations by providing formal versioning, auditing, and security mechanisms for safe, collaborative data work. The application can seamlessly process large datasets—even those containing millions of rows—without performance degradation. Users can easily upload and share these datasets across teams with granular permission controls.

DIAL Chat Overlay Integration

DIAL Chat Overlay enables to embed a full-scale AI chatbot directly into the DIAL XL interface, leveraging underlying DIAL platform features including access control, governance, cost management, and security.

Multi-Agent Architecture

DIAL XL's orchestration layer coordinates specialized AI agents that process natural language and transform queries into executable operations, and generate data visualizations through a transparent step-by-step process.

Progressive Analysis Architecture

Generated artifacts (tables, charts, dashboards) automatically serve as input for subsequent queries, allowing users to build increasingly complex analyses through simple follow-up questions without redefining context.

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Results

Self-service sales analytics

The solution eliminates the technical barrier between sales teams and their data, enabling managers to independently explore market trends, customer behaviors, and revenue drivers without IT or analyst dependencies.

Cross-functional data alignment

DIAL XL creates a single collaborative environment where sales, marketing, operations, and executive teams share the same data view with real-time updates, eliminating siloed analyses and conflicting metrics.

Data continuity

The solution automatically incorporates new data without breaking existing analyses, ensuring continuity of business intelligence as the organization and its data needs grow.

Data-driven and streamlined execution

Executive dashboards and reports shrink the gap between identifying market opportunities and implementing sales strategies by connecting insights directly to actionable dashboards accessible by frontline decision-makers.