Recommendations & Personalization
Recommendation and personalization engines that run against live transactions — at the point of sale, in the app, in the channel — and are measured on the outcome that matters, not on vanity metrics.
Off-the-shelf personalization treats every enterprise the same
Generic recommendation widgets ignore your catalog, your margins, and your operational reality. Personalization that actually moves the number has to be built on your data, deployed where the decision happens, and measured against real business outcomes.
Your data, your margins
Recommendations should reflect your catalog and economics, not a vendor’s defaults.
At the point of decision
The suggestion has to arrive in the POS, app, or channel in real time.
Measured on outcomes
Success is basket size and conversion, not click-through theater.
Personalization engineered into the moment of action
We build recommendation and personalization systems on your own data and deploy them where decisions are made — including at the physical point of sale — with the measurement to prove they move the outcome you care about.
Recommendation Models
Next-best-action and product recommendations built on your catalog and behavior data.
Real-Time Serving
Recommendations delivered at the point of sale or in-app, in the moment.
Segmentation
Behavioral and value-based segments that reflect how your customers actually differ.
Outcome Measurement
Instrumented against basket size, conversion, and retention — not vanity metrics.
Channel Integration
Wired into POS, app, email, and web without a rip-and-replace.
Guardrails
Business rules for margin, compliance, and inventory baked in.
What you get
Bigger baskets
Relevant next-best-action at the moment of purchase.
Higher conversion
Show the right thing to the right customer in real time.
Retention
Personalization that keeps customers coming back.
Margin-aware
Recommendations that respect your economics, not just clicks.
Network-wide
Consistent personalization across every location and channel.
Proven impact
Measured against the business outcome, not a proxy.
Recently shipped
Real, in-production work. Clients are described by sector and scale, per NDA — we don't publish numbers we can't stand behind.
AI-at-POS recommendations rolled out across all 120 locations, running against live in-store transactions network-wide.
Want personalization that moves the number?
How we work
Feasibility in weeks, production in a quarter — not a nine-month science project.
Step 1: Feasibility
Assess the data and channel, define the target outcome, and validate the ROI.
Step 2: Build & Evaluate
Develop the models and test them against real behavior and business rules.
Step 3: Deploy
Serve recommendations in real time at the point of decision.
Step 4: Operate & Improve
Measure the outcome, tune, and expand across channels and locations.
Let's Start Your AI Journey
Ready to transform your business with AI? Get in touch with our experts for a free consultation.
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Location
Sheridan, WY, USA • Barcelona, Spain • Lisbon, Portugal
Why Choose CONE RED?
- AI R&D lab & venture builder — production systems, not slideware
- Feasibility in 6 weeks, production in ~90 days
- Accuracy measured and evaluated — never invented or guaranteed
- Real engagements across financial services, healthcare & retail
- End-to-end support from strategy to deployment
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