Turn fragmented retail data into real-time AI intelligence
Techment helps retail enterprises turn fragmented data into real time business intelligence with Conversational Analytics for Retail and AI powered insights.
Unify your POS, ERP, CRM, and eCommerce data on Microsoft Fabric to deliver governed, real-time insights across every business function while enabling faster decisions through conversational AI and intelligent analytics.
Retail Intelligence That Drives Faster Decisions
80%
Faster Retail Reporting
From weeks to real time insights
60%
Reduced Manual Reporting Effort
Teams focus more on insight, less on reporting
100%
Improved KPI Consistency
Standardized metrics across retail operations
360°
Better Retail Visibility
Real time cross business intelligence
5X
Faster Decision Making
Move from data to action faster
Scale
Scalable Retail Analytics
Expand across stores, brands, and business units
Faster Intelligence Beats More Data
Most retail enterprises are drowning in data but still struggling to make confident decisions. Disconnected systems, delayed reporting, and inconsistent metrics make it impossible to act in real time.
Fragmented Retail Data
Companies run on disparate POS, eCommerce, CRM, ERP, and warehouse systems with no unified business view.
Slow Reporting Cycles
Teams spend days compiling reports manually instead of responding to market changes in real time.
Inconsistent KPIs
Different departments define and measure metrics differently, creating conflicting insights and low trust in reporting.
Manual Reporting
Analysts spend more time preparing spreadsheets and presentations than analyzing business performance.
Limited Self Service
Business teams depend heavily on analysts for every ad hoc query and operational insight.
Delayed Decisions
By the time leadership receives insights, inventory gaps, pricing shifts, and customer demand opportunities are already missed.
Sound familiar? Let's map your data landscape.
A free 30-minute discovery session — we'll identify your highest-value use cases.
What Techment Delivers
Six Ways Our Conversational AI Service Transforms Retail
Built for the everyday business questions retail teams need answered faster across operations, merchandising, finance, inventory, and customer experience.
Unified Retail Data Across Every Channel
Connect ERP, POS, CRM, eCommerce, warehouse, finance, and customer systems into one centralized retail intelligence platform.
Retail Reporting Automation
Reduce manual reporting effort and generate executive ready retail insights in minutes instead of weeks. t
Real Time AI Powered Insights
Enable faster decisions across inventory, pricing, merchandising, and customer engagement with live AI-driven analytics.
Conversational Analytics for Retail
Ask business questions naturally and get instant governed answers without SQL, spreadsheets, or dashboards.
Consistent Retail KPI Definitions
Standardize sales, margin, inventory, and customer metrics across regions, brands, and business units.
Enterprise Grade Security & Governance
Ensure secure, governed retail intelligence with RBAC, auditability, row level security, and complete data lineage.
Ready to eliminate manual analysis from your workflow?
Let's discuss which of these benefits matters most to your team.
How We Work
Our Service, Built Natively on Microsoft Fabric
Techment delivers conversational analytics for retail on Microsoft Fabric combining unified data, AI powered insights, and enterprise grade governance in one scalable retail intelligence platform.
Retail Data Unification
Connect POS, ERP, CRM, finance, inventory, warehouse, and eCommerce systems into one governed retail data foundation.
Semantic KPI Intelligence
Standardize retail KPIs across stores, brands, business units, and regions with a single trusted metric definition.
Conversational AI Analytics
Enable business users to ask questions naturally and get governed insights without SQL, DAX, or technical dependencies.
Enterprise Governance & Security
Built with RBAC, row level security, auditability, lineage, and Microsoft tenant level data governance from day one.
Already on Microsoft Fabric? Our service integrates directly into your existing environment.
AI Powered Retail Insights for Every Function
Techment’s conversational analytics service empowers every retail team with real time insights across sales, inventory, operations, customer experience, and executive decision making.
Sales Analytics
Track revenue, sell through, and gross margin performance across stores, regions, and sales channels in real time.
Inventory Analytics
Monitor stock levels, replenishment risks, and inventory movement with AI powered retail intelligence.
Customer & Loyalty Analytics
Understand customer behavior, loyalty trends, repeat purchases, and lifetime value using unified retail data.
Store Operations
Measure store productivity, operational efficiency, staffing, and regional performance with live operational insights.
Executive Reporting
Generate board ready business insights automatically without manual reporting cycles or analyst dependency.
AI Forecasting & Planning
Forecast demand, inventory needs, and growth opportunities using AI powered retail analytics built on historical sales data.
Built on Microsoft Fabric for Enterprise Retail Scale
A unified analytics foundation with OneLake, AI semantic layers, governed pipelines and enterprise security — purpose-built for retail at portfolio scale.
OneLake Unification
AI Semantic Layer
Governed Pipelines
Enterprise Security
A Structured Path to Conversational Retail Intelligence
From Discovery and Validation to Build and Launch, Techment helps retail businesses transform fragmented Fabric and Power BI data into trusted conversational intelligence. Each phase is designed to validate value early, reduce implementation risk, and scale securely across the enterprise.
Want to see how this can work for your retail ecosystem?
Frequently Asked Questions
Get answers to common questions about Microsoft Fabric and our implementation approach.
Q1. What is retail conversational analytics?
It’s an AI layer that lets you talk to your retail data. Instead of pulling manual reports, you ask questions like, “Which regions are over-performing in private labels?” or “Show me the top 5 stores with low stock on winter wear,” and get instant visuals.
Q2. How does it improve the customer experience?
It gives floor staff and managers real-time answers. If a customer asks about a specific item, an associate can instantly query stock across all locations or check for nearby alternatives, ensuring you never miss a sale due to “hidden” data.
Q3. Can it help with markdown and promotion strategies?
Yes. You can ask the AI which items have high inventory but low turnover to identify candidates for markdowns. It can also track live campaign performance, such as: “How is the ‘Buy One Get One’ promo affecting our basket size today?”
Q4. Does it connect POS, Warehouse, and E-commerce data?
It acts as a unified data hub. By pulling from your POS, inventory management systems (IMS), and online storefronts, it provides a single view of your entire operation, eliminating discrepancies between “online” and “in-store” stock levels.
Q5. How does it handle seasonal or trend-based spikes?
The AI analyzes historical patterns and current momentum. You can ask for predictive insights, such as: “Based on current trends, what will our stock levels for patio furniture look like by June?” helping you avoid stockouts during peak seasons.
Q6. Is it difficult to integrate with our existing retail tech?
Not at all. It uses secure APIs to plug directly into popular retail platforms (like Shopify, Oracle Retail, or Microsoft Dynamics). Most setups are live within weeks, allowing your team to use the tools they already know with a much smarter interface.
Ready to start?
Turn retail data into a strategic advantage
Start with a 4–6 week proof of concept. See board-level insights from your actual retail data — before committing to full deployment. No obligation. We’ll map your data landscape and identify the highest-value use cases in our first session.
