Unlock new profit potential in retail with AI-native automation that puts business users in control - boosting operational efficiency, cutting costs, and expanding margins with cutting-edge technology.
Retailers today face intensifying margin pressures from rising operating costs, supply chain disruptions, evolving regulations, and rapidly shifting consumer expectations. Competing on price alone is no longer sustainable—leaders need smarter ways to unlock profit, eliminate waste, and move faster than the market.
AI-native automation platforms such as duvo.ai offer a transformative solution by empowering business users to drive automation initiatives independently, without reliance on IT teams or the constraints of traditional RPA tools. Instead of being bottlenecked by technical resources, retail teams can take control of their own automation roadmap.
By prioritizing a business-users-first approach, duvo.ai enables retail teams—from merchandising and supply chain to store ops and finance—to:
Rapidly identify new margin opportunities
Automate complex, cross-functional processes
Test and iterate improvements in days, not months
This agility ensures that retailers can respond to changing market conditions and operational challenges in real time, resulting in enhanced profitability and stronger competitive positioning.
Inventory and supply chain performance sit at the heart of retail margins. Overstocks erode profitability through carrying costs and markdowns, while stockouts drive lost sales and customer dissatisfaction. Manual spreadsheets, fragmented systems, and slow decision cycles make it difficult to get this balance right.
AI-powered automation platforms streamline core retail operations, including inventory management and supply chain processes, by:
Continuously ingesting and analyzing real-time data from POS, ERP, WMS, and vendor systems
Using AI models to forecast demand at granular levels (store, SKU, region)
Automating routine but critical decisions such as replenishment orders, allocation, and transfers
With intelligent forecasting, automated replenishment, and real-time data integration, retailers can minimize stockouts, reduce excess inventory, and optimize order fulfillment.
Duvo.ai’s platform extends automation beyond conventional RPA, enabling business users to orchestrate end-to-end workflows—such as:
Dynamic pricing and markdown optimization
Vendor performance tracking and exception handling
Predictive demand planning and scenario simulation
Automated purchase order routing and approvals
Because business users can configure and modify these workflows themselves, without waiting on IT, retailers see:
Reduced carrying costs
Improved inventory turnover rates
Higher on-shelf availability
A direct, measurable positive impact on margins
Modern retail success depends on more than operational efficiency—it requires deep customer relevance. Shoppers now expect tailored experiences, curated assortments, and communications that reflect their behaviors and preferences.
AI-native automation platforms empower business users to deliver hyper-personalized engagements at scale, such as:
Targeted promotions based on purchase history, basket behavior, and lifecycle stage
Personalized product recommendations across web, app, email, and in-store channels
Trigger-based campaigns (e.g., win-back journeys, cart abandonment flows, lapsed customer outreach)
Loyalty offers calibrated to each customer’s sensitivity to incentives
With duvo.ai, retail teams can automate segmentation, recommendation engines, and omnichannel communication flows, leveraging real-time data while ensuring compliance and data privacy. Marketing and CRM teams can design, launch, and adjust these automations on their own—no coding required.
The result:
Higher conversion rates from campaigns
Increased average order value and frequency
Stronger customer satisfaction and loyalty
Maximized revenue per customer, directly boosting overall profitability
Operational efficiency is a critical driver of margin expansion, especially in a low-growth or highly competitive environment. Yet many retailers still rely on manual processes—spreadsheets, email approvals, swivel-chair work between systems—that consume time and introduce errors.
AI-native platforms like duvo.ai help reduce operational costs by automating:
Back-office tasks: invoice matching, reconciliations, reporting, compliance checks
Store operations: task management, store audits, workforce scheduling support, incident reporting
HR and finance workflows: onboarding checklists, payroll validations, expense approvals
By automating manual, repetitive, and error-prone tasks across HR, finance, and store operations, duvo.ai helps:
Reduce labor costs and overtime
Minimize process exceptions and rework
Shorten cycle times and accelerate decision-making
Because of the business-users-first approach, subject matter experts—such as a store operations manager or merchandising lead—can deploy automation where it matters most, without waiting for IT resources. This self-service capability:
Shortens deployment cycles from months to weeks (or even days)
Increases automation coverage across departments
Ensures that cost reduction initiatives align precisely with business goals
For retailers handling sensitive customer, payment, and supplier data, safe, independent automation is essential. Governance and compliance can’t be an afterthought.
Duvo.ai is designed to empower business users to build and deploy automations securely, with:
Built-in governance controls and role-based access
Clear audit trails for every automation run
Data protection features that respect security and privacy requirements
Guardrails that keep automations within approved systems and policies
By removing the traditional dependency on IT for every change—while still enabling IT to set guardrails and standards—duvo.ai’s platform accelerates innovation without sacrificing control.
Retail organizations gain the flexibility to:
Pilot new automations in a controlled environment
Scale successful workflows across stores, regions, or business units
Continuously refine processes as business needs evolve
All of this unlocks new efficiencies and margin opportunities without compromising security, compliance, or brand trust.
Many retailers begin their AI automation journey with high-impact, easy-to-measure use cases such as:
Price and promotion workflows
Automated price change propagation across channels
Promotion eligibility checks and validation
Post-promo performance tracking
Inventory & supply chain
Automated reorder suggestions with approvals
Vendor SLA monitoring and alerts
Exception-based handling for late or incomplete deliveries
Customer & marketing operations
Automating campaign setup and audience building
Trigger-based retention and win-back flows
Real-time personalization in loyalty programs
Finance & compliance
Invoice and receipt matching
Automated report generation and distribution
Compliance checks tied to transaction thresholds
By starting with a handful of these processes, retailers quickly prove value, then expand automation to more complex, cross-functional workflows.
Launching AI automation with duvo.ai doesn’t require a massive transformation program. Retailers typically follow a pragmatic, phased approach:
Identify 2–3 high-value processes
Look for workflows that are repetitive, rules-based, and closely tied to cost or revenue (e.g., replenishment approvals, promo setup, invoice matching).
Map the current process with business users
Capture steps, exceptions, and decision points directly from the people doing the work today.
Build and test automations in duvo.ai
Business users configure and refine automations with guidance from a small central team and IT for governance.
Measure impact and iterate
Track KPIs such as time saved, error reduction, improved availability, or uplift in conversion/margin.
Scale across teams and regions
Once validated, replicate and adapt automations across the organization, building a growing portfolio of AI-driven workflows.
1. What is an AI-native automation platform?
An AI-native automation platform combines traditional workflow automation with modern AI models and real-time data capabilities. Instead of only mimicking clicks or scripts (like legacy RPA), it can make predictions, classify information, and support decision-making—while still orchestrating tasks across systems.
2. How is duvo.ai different from traditional RPA tools?
Traditional RPA tools often rely on IT specialists to build and maintain automations, and they can be fragile when interfaces or processes change. Duvo.ai is designed for business users first, providing intuitive interfaces and guardrails so non-technical teams can build and manage automations themselves. It also goes beyond simple screen-scraping by integrating AI for forecasting, personalization, and decision support.
3. Do we still need IT if business users can build automations?
Yes—but in a different role. IT focuses on governance, security, integrations, and setting standards, while business teams own use cases and day-to-day automation design. This partnership allows organizations to move faster without sacrificing control.
4. Is AI automation safe for sensitive customer and payment data?
When implemented on a platform like duvo.ai with built-in governance and data protection, AI automation can meet strict security and compliance requirements. Role-based access, audit trails, and controlled integrations ensure that only authorized users and systems can access sensitive information.
5. What kinds of retail processes are best suited for automation first?
Great starting points include: inventory replenishment workflows, price and promotion changes, invoice matching, vendor SLA monitoring, and marketing campaign operations. These processes are typically repetitive, rules-based, and have clear KPIs tied to cost, revenue, or margin.
6. How quickly can retailers see ROI from AI automation?
While timelines vary by organization, many retailers see meaningful impact within weeks of launching initial use cases—for example, reduced manual effort, fewer errors, and faster cycle times. As automation scales to more processes, the cumulative impact on margins becomes significant.
7. Does duvo.ai replace existing retail systems like POS, ERP, or WMS?
No. Duvo.ai is designed to orchestrate and enhance the systems you already use, not replace them. It connects to your existing tools, automates workflows across them, and uses AI to make better, faster decisions based on the data they generate.
8. What skills do business users need to work with duvo.ai?
Business users don’t need to know how to code. They should understand the processes they want to automate and be comfortable working with simple, visual tools (like flow builders or rule editors). Duvo.ai is built so that process owners, not just technical experts, can design and manage automations.
By combining AI-native automation with a business-users-first approach, retailers using duvo.ai can unlock new profit potential, strengthen resilience, and build a margin structure designed for the future of retail.