Consumer & Retail

CONSUMER & RETAIL

RETAIL RUNS ON INTELLIGENCE NOW

Smart tech is behind every shelf, screen, and shipment, working in real time to keep retail fluid and frictionless.

Staying ahead of consumer demands requires full synchronization across supply chains, digital infrastructure, and in-store systems.

That’s where AI, IoT, and live data come in. Together, they enable brands to optimize inventory, automate workflows, and personalize experiences at scale.

We translate all of that into building intuitive platforms, intelligent workflows, and adaptive tools that keep everything moving and improving.

According to Accenture
46%
of tasks handled by retail workers could be automated by LLMs

How Can
We Help

PREDICTIVE INTELLIGENCE

We use live data and AI to forecast demand, react to trends instantly, and maximize promotional ROI.

PERSONALIZED EXPERIENCES

We help deliver tailored customer journeys, powered by behavioral signals, context, and AI.

AI-POWERED FULFILLMENT

We create intelligent systems that optimize delivery from cart to door and sync fulfillment across channels, fast and reliably.

Inventory Optimization

We turn chaotic supply chains into smooth operators, balancing stock levels across every location, warehouse, and channel.

Conversational AI

We use smart retail assistants to resolve issues instantly, personalize upsell moments, and reduce friction.

Connected Retail Tech

We combine real-time sensors and edge AI to create responsive, self-adjusting retail environments.

OPTIMIZE YOUR AI STRATEGY WITH MATHEMATICAL PRECISION

Explore a smarter way to identify, prioritize, and sequence your AI initiatives. With a structured approach grounded in business value, you’ll make faster decisions and see real results sooner.

Download the white paper

Our Latest Case Studies

Data & Analytics

Saving Lives By Cutting Reporting From 1 Month To 1 Hour

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Replacing 5 Devices with 1: A Fully Integrated RFID Labeling System

AI

Optimizing The Invitation Pool For Healthcare Market Research With AI
View all case studies

Our
Capabilities

Artificial Intelligence

  • Forecast demand, inventory, and seasonal shifts with predictive AI
  • Automate pricing, promotions, and markdown strategies in real time
  • Deliver dynamic product recommendations based on behavior and context
  • Power customer segmentation and targeting with clustering algorithms
  • Optimize staffing and scheduling with workload and footfall predictions
  • Use AI copilots to support planners, merchandisers, and CX teams

Internet of Things

  • Track inventory levels, temperature, and planogram compliance with smart sensors

  • Monitor in-store activity: dwell time, traffic patterns, and engagement hotspots

  • Trigger automated tasks like shelf replenishment or queue alerts

  • Enable predictive maintenance for store hardware and facilities

  • Collect telemetry from kiosks, scanners, and smart carts to improve UX

  • Integrate edge AI for instant decision-making without latency

Data Visualization & Insights

  • Unify data from sales, CX, logistics, and IoT into one dashboard

  • Identify anomalies and underperforming stores in seconds

  • Visualize customer journeys across channels and touchpoints

  • Support daily, weekly, and executive views with flexible reporting layers

  • Drill down into SKU, associate, or region-level performance instantly

  • Integrate AI overlays to recommend actions and flag emerging trends

UX/UI Design

  • Design shopper journeys that adapt to cultural context, location, and intent

  • Create seamless omnichannel experiences across mobile, web, and physical retail

  • Equip frontline teams with intuitive tools for tasking, inventory, and POS

  • Use motion, hierarchy, and microinteractions to guide behavior

  • Scale design systems that support localization, access, and consistency

  • Deliver frictionless, inclusive interfaces for diverse user needs

Agentic Customer Service

  • Deploy multichannel agents trained on retail-specific intents

  • Handle returns, order tracking, and product questions automatically

  • Surface shopper profiles, preferences, and histories to personalize support

  • Classify and route tickets using natural language understanding

  • Use LLMs to summarize support histories and suggest next best actions

  • Continuously improve service quality with AI feedback loops

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