Ekohe
Ekohe

Industries

Customer Experience, Retail, and E-commerce

Enhancing customer experience, streamlining inventory, and accelerating e-commerce growth with AI-driven solutions

Struggling to meet growing customer expectations while managing complexity across channels? Today’s customers expect fast, personalized, and seamless experiences. But disconnected systems, manual processes, and lack of insight often slow things down

We help you simplify, connect, and scale your operations. From AI-powered personalization to smart automation and unified data platforms, we provide the tools you need to grow efficiently,without compromising on experience

Future trends

3-5 years
15%

European e-commerce spending driven by agents

Strategy&

AI agents redraw the e-commerce checkout channel

By 2030, commerce teams will design product data and checkout flows for agent-initiated purchasing, not browsing alone. Retailers that delay risk losing share when agents select competing offers.

  • Agents are projected to drive up to 15% of European e-commerce spending by 2030.

    Strategy&
3 years
30%

customer-service operational cost reduction

Strategy&

Agentic service resets the customer-support cost curve

By 2029, customer-service capacity planning will shift toward agentic workflows that resolve routine demand before human queues. Brands retaining manual-first service models will carry a structurally higher cost base.

  • Agentic AI is expected to reduce customer-service operational costs by 30% by 2029.

    Strategy&
18 months
11%

fully prepared for AI at scale

Amperity

Retail's AI readiness gap becomes a competitive divide

Over the next 18 months, unified customer and commerce data will separate AI deployment leaders from routine adopters. Retailers without scalable foundations will forfeit speed in customer-facing innovation.

  • 45% of retailers use AI daily or several times weekly, but only 11% are fully prepared to deploy it at scale.

    Amperity
18 months
91%

top ecommerce companies with recommendation AI

Halkwinds Research

Recommendation AI leaves little room for undecided commerce teams

Within 18 months, personalized ranking will become the expected discovery architecture as leading ecommerce peers operationalize recommendation AI. Brands without it risk losing share at product comparison.

Our use cases

Real-Time Personalization at Scale

We can build recommendation engines and personalized content systems that adapt in real time to customer behavior, boosting engagement and conversion

AI Agents for Customer Service

We provide AI-powered assistants that handle repetitive support tasks, suggest relevant answers, and escalate complex cases, freeing up your human teams

Predictive Inventory & Campaign Optimization

We can help you anticipate demand, optimize inventory, and target marketing efforts using AI-powered insights, leading to fewer stockouts and more effective campaigns

Fast Iteration Through Smart Testing

We offer lightweight tools and dashboards that enable A/B testing of features, layouts, and content, allowing quick iteration based on real usage data

Data Unification for a 360° Customer View

We know how to integrate data across CRM, ERP, e-commerce, and support tools to create a full, actionable picture of each customer

AI-Curated Insights