Retail AI
Personal at scale — across web, mobile, and the four-walls.
Yobitel powers the AI behind global merchants and DTC brands — recommendations, demand forecasting, visual search, conversational commerce, sizing fit, and dynamic pricing. PCI-DSS scoped, GDPR/CCPA-resident, accessibility-first, and integrated into Shopify, Salesforce Commerce, SAP, and your headless stack.
+35%
AOV via recs
−25%
Return rate via fit
+22%
Conversion via search
PCI-DSS scoped
Tokenised CDE
What's hard
The realities of retail & e-commerce AI.
Honest about the constraints. AI in this sector isn't a wrapper on a hosted LLM. It has to land inside your boundary, respect your regulators, and earn the trust of the people on the front line.
Cold-start and long-tail kill personalisation
New customers, new SKUs, and the long tail of sparse interactions break collaborative filtering. You need content-aware embeddings and zero-shot generalisation.
Forecasting is a moving target
Promotions, weather, social trends, and competitor pricing all warp demand. Classical forecasts can't ingest unstructured signals; foundation models can.
Search bar is the new storefront
Shoppers expect natural-language queries — "navy waterproof shell under $250" — answered with the right facets and the right inventory. Lexical search alone misses intent.
Privacy, accessibility, and consent are non-negotiable
PCI-DSS scope, GDPR / CCPA / CPRA consent, WCAG 2.2 AA, and ADA litigation risk all sit in the same product backlog as growth.
Where AI moves the needle
Six use cases customers ship today.
These aren't demos. Each pattern is in production for at least one customer in this sector. Click through to the underlying Yobitel app, or have us build the custom variant.
Personalised recommendations
Session, cohort, and lifetime personalisation across home, PDP, cart, and email. Cold-start handled via content embeddings.
Demand forecasting
SKU × store × day forecasts with promo, weather, and event covariates. Drives buying, allocation, and replenishment.
Visual & semantic search
Natural-language and image-based search. Multi-modal embeddings unify product, content, and editorial under one index.
Conversational commerce
Shopping copilot on web and chat — discovery, comparison, sizing, and post-purchase support with hand-off to a human agent.
Sizing & fit prediction
Reduces returns on apparel and footwear via measured-fit models combined with body-shape inference and purchase history.
Store computer vision
Shelf compliance, planogram drift, queue analytics, and shrink detection — runs on edge with privacy-preserving telemetry.
Featured apps
The Yobitel apps powering Retail & E-Commerce.
Pre-built, vertical-tuned, observable, and one-click-deployable on the Yobibyte platform. Each link is a deeper drill-in.
NexusCRM
Customer lifecycle, lifetime value, churn, and next-best-action across owned channels and the loyalty programme.
Agentic RAG
Service copilot for contact-centre and store associates — grounded in your policy, catalogue, and order system.
LLM Fine-Tuning
Tune on your tone-of-voice, brand glossary, and catalogue descriptions for on-brand merchandising copy at scale.
Tokenised Inference
Per-brand or per-banner cost attribution on shared GPU — clean economics across a multi-banner group.
Regulators & frameworks
Built for the audit, not after it.
Compliance isn't a wrapper on top. It's embedded in how we deploy, train, monitor, and prove decisions for retail & e-commerce customers.
PCI-DSS v4.0
Card data tokenised pre-LLM; CDE kept out of the context window. Network segmentation and quarterly attestation.
GDPR & UK GDPR
In-region residency, lawful basis catalogue, consent capture, profiling notice, and DSAR / right-to-erasure tooling.
CCPA / CPRA
Do-not-sell / do-not-share signals respected end-to-end; sensitive personal info handled under purpose limitation.
WCAG 2.2 AA & ADA
Accessibility baked into every embeddable component. Screen-reader friendly, contrast tokens, motion preferences honoured.
EU AI Act (limited-risk transparency)
Disclosure that the customer is interacting with an AI; deepfake and synthetic-content labelling; provider obligations.
DSA (Digital Services Act)
Recommender transparency for VLOPs / VLOSEs; option to disable profiling-based ranking; clear T&Cs and ad transparency.
How we deploy
The Retail & E-Commerce deployment pattern.
The shape of every successful retail & e-commerce engagement, refined across years of customer rollouts and grounded in the operational reality of the sector.
- 01
Connect the catalogue
Ingest from Shopify, Salesforce Commerce, SAP Commerce, BigCommerce, or your headless API. Multi-banner aware.
- 02
Unify the customer view
ID resolution across web, app, store, and loyalty. CDP-agnostic. Consent-respecting at every join.
- 03
Train on your signal
Recommendation, search, and forecasting models tuned on your behavioural and transactional data — never pooled across customers.
- 04
Ship to every surface
Embeddable React components, mobile SDK, edge personalisation, and contact-centre copilot — one model, every surface.
- 05
Measure on revenue, not vanity
Built-in incrementality testing, holdouts, and uplift modelling. Attribution to AOV, conversion, return rate, and CLV.
Outcomes, measured
The numbers customers put on the slide.
Quantified outcomes from production deployments. Each tied to a real customer, even when the logo is held back at their request.
+35%
AOV via recommendations
Luxury fashion DTC
−25%
Return rate via fit
Athleisure brand, EMEA
+22%
Conversion via search
Multi-banner grocer
−18%
Stock-outs in pilot stores
Speciality retailer
Customer story
Multi-banner European grocer
Replaced legacy search with semantic + visual; on-site conversion jumped 22% and zero-result rate dropped to under 1%.
“We turned the search bar into a conversation. Yobitel made it boring to operate — same SLA as our old keyword search, ten times the relevance.”
What we delivered
+35%
AOV via recommendations
−25%
Return rate via fit
+22%
Conversion via search
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ExploreReady to ship AI in retail & e-commerce?
Book a working session with Yobitel engineers who've done it before in your sector. Walk away with a concrete deployment plan and an eight-week pilot scope.