Ecommerce & D2C
At Fractics, we don't chase trends, we architect outcomes. Our AI practice is built for serious transformation: deep domain expertise, cutting-edge architecture, and operational deployment at scale.
Key Industry Challenges we are solving
AI isn’t the solution to everything but first-principles thinking often is. Fractics partners with industry leaders and ambitious disruptors to tackle complex, high-impact challenges that sit at the intersection of technology, operations, and business outcomes.
Our approach isn’t just to deploy AI; it’s to solve for value.
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1
Legacy Systems Blocking Innovation
Most enterprises are burdened with fragmented data systems, outdated architecture, and brittle workflows.
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2
Slow, Manual Decision Cycles
Critical decisions are delayed due to siloed insights, tribal knowledge, and human bandwidth bottlenecks.
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3
Operational Inefficiency at Scale
From customer support to compliance, key workflows remain human-heavy, error-prone, and slow to scale.
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4
Lack of Personalization in Customer Experience
Static funnels and one-size-fits-all interfaces hurt conversion, loyalty, and LTV.
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5
Poor Forecasting & Demand Planning
Inaccurate predictions result in stockouts, cash flow risk, and missed opportunities.
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6
Disconnected Content and Growth Engines
Content, marketing, and product teams operate in silos — limiting growth velocity.
Case Snapshots
Deployed a multilingual RAG assistant for a global home appliances brand:
GenAI & RAG Systems
We architect and deploy Retrieval-Augmented Generation (RAG) systems, fine-tuned to internal knowledge, policy documents, customer queries, and support histories.
Key Impact
- Reduced L1 support volumes by 60–80%
- Accelerated employee onboarding and internal knowledge access
Deployed a multilingual RAG assistant for a global home appliances brand:
GenAI & RAG Systems
We architect and deploy Retrieval-Augmented Generation (RAG) systems, fine-tuned to internal knowledge, policy documents, customer queries, and support histories.
Key Impact
- Reduced L1 support volumes by 60–80%
- Accelerated employee onboarding and internal knowledge access
Deployed a multilingual RAG assistant for a global home appliances brand:
GenAI & RAG Systems
We architect and deploy Retrieval-Augmented Generation (RAG) systems, fine-tuned to internal knowledge, policy documents, customer queries, and support histories.
Key Impact
- Reduced L1 support volumes by 60–80%
- Accelerated employee onboarding and internal knowledge access
What’s trending in Ecommerce & D2C
Artificial Intelligence
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SEO
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Artificial Intelligence
What’s next in Machine Learning
Artificial Intelligence
How AI is challenging everything we know about SEO
Want to work with us?
Whether you’re a business leader navigating AI transformation or a trailblazer looking to join a global team that actually builds, we’d love to hear from you.
Contact Us