Ekohe
Ekohe

Industries

Consumer Goods

Leraging data and AI to refine supply chain management, boost consumer insights, and enhance online sales

Disconnected systems and changing demand make it hard to deliver the right product, at the right time, to the right customer? From supply chain issues to shifting consumer expectations, brands face pressure to move faster, act smarter, and stay relevant

We help you turn data into action: optimizing operations, refining your customer understanding, and driving online growth through tailored digital solutions.

From backend automation to AI-powered personalization, we work across your ecosystem to build long-term value

Future trends

3 years
60%

activities automated or augmented

Accenture

Up to 60% of work moves into AI workflows

Over the next three years, consumer-goods operating models will redesign roles around AI-augmented commercial, innovation, and employee workflows. Leaders can redirect talent toward growth work rather than routine execution.

  • Generative AI could automate or augment up to 60% of consumer-goods activities.

    Accenture
2 years
65%

companies deploying AI agents

PwC

AI agents enter planning and procurement peer playbooks

Within the next two years, AI agents will become standard workflow infrastructure for demand planning, forecasting, sourcing, and procurement. Companies without connected planning data risk slower purchasing decisions.

  • 65% of consumer-markets companies are deploying AI agents in demand planning, forecasting, sourcing, and procurement.

    PwC
2 years
31%

content cost reduction

Adobe and Incisiv

AI content factories cut e-commerce production costs 31%

Over the next two years, AI content factories will replace fragmented campaign production across consumer-goods digital commerce. Brands that industrialize the workflow can reset their e-commerce cost base.

  • AI-generated content reduced cost per content piece by 31% for consumer-goods brands.

    Adobe and Incisiv
2 years
60%

time-to-market reduction

McKinsey

GenAI market sensing compresses product launches by 60%

By the next product-planning cycles, generative market sensing will compress insight-to-launch timelines across CPG portfolios. Faster launch decisions protect the revenue window for emerging demand.

  • A generative-AI sentiment-analysis application reduced time to introduce a new product to market by 60%.

    McKinsey

Our use cases

Smarter Demand Forecasting

We can help anticipate shifts in customer demand, optimize stock levels, and reduce waste, improving supply chain responsiveness and planning

Personalized Product Experiences

We know how to create tailored e-commerce experiences, recommending products, adapting content, and engaging users based on behavior and preferences

Data-Driven Consumer Insights

We can unify and analyze data from e-commerce platforms, CRM systems, and third-party sources to uncover actionable insights on customer needs and market trends

Agile Innovation & Testing

We help you test new product ideas, launch pilots, and iterate quickly based on real customer feedback—reducing time to market.

Scalable Direct-To-Consumer Platforms

We offer full-stack solutions to build direct-to-consumer platforms: fast, secure, and ready to scale globally

AI-Curated Insights