// eCommerce
AI for commerce and retention.
Catalog, loyalty and support each solving their own problem instead of the customer's.
The challenge
Acquisition cost rises while repeat rate stays flat. The catalog is inconsistent, loyalty runs as a discount mechanic, and support answers the same questions forever — because none of the three share a customer record.
Solution highlights.
Composed from proven components across our delivery bench — BrainStation23, VIVASoft, NagorikTech and Cefalo — orchestrated and governed by us end to end.
Catalog intelligence
Attribute enrichment, deduplication and search relevance tuned on your own conversion data.
Sfotic AI practice · NopCommerce / Shopify
Loyalty and retention engine
Segment-level offers, tiering and lifecycle triggers driven by predicted value rather than blanket discounting.
Sfotic build · Elevatr loyalty
Conversational support and commerce
Deflection and assisted selling on a support agent that knows the order, the policy and the catalog.
LazyChat · Sfotic delivery
Customer data platform
One identity across storefront, marketplace, support and loyalty, so every model reads the same customer.
BrainStation23 · Sfotic CDP build
Our competitive edge.
Retention is an architecture problem
We fix the customer record before selling you a campaign tool. Personalisation on fragmented identity is theatre.
Ready solutions, branded to you
Loyalty, chat and analytics components already in production, configured to your catalog and market.
Measured on the commercial number
Repeat rate, CAC payback or contribution margin — the metric you already use to judge the channel.
31%
Lift in repeat purchase rate over two quarters
Multi-brand retailer
55%
Of support conversations resolved without an agent
Marketplace operator
1 identity
Across storefront, marketplace and support
CDP programme
Use cases.
Loyalty stopped meaning discount
A retailer's loyalty programme paid the same margin to everyone. Predicted-value segmentation redirected spend to the cohorts that responded, and margin recovered while repeat rate rose.
Support that knows the order
Chat had no access to order or policy data, so everything escalated. Grounding the agent in live systems removed the majority of handoffs.
Trending in eCommerce.
- Predicted-value loyalty segmentation
- Grounded conversational commerce
- Catalog enrichment at scale
Related insights
Applied AI · May 2026
Personalisation fails without an identity layer
Industry deep dives · Apr 2026
The real cost of a fragmented product catalog
Modernization economics · Feb 2026
When replatforming is the wrong answer to slow checkout
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