Custom AI agent · Sales
AI Cross-sell Recommendations Agent
Make every recommendation feel relevant.
Use product relationships, customer context and business rules to suggest useful add-ons without turning every interaction into a generic upsell.
- More useful add-on suggestions
- Clear reasons behind each recommendation
- A controlled path from signal to offer
Starting at $300 USD/month
Starting price is $300 USD/month for a tailored solution. Your final proposal defines the scope, deliverables and payment terms. Additional integrations, usage, hosting and ongoing support are scoped and priced before work begins.
What is an AI cross-sell recommendations agent?
An AI cross-sell recommendations agent helps commercial teams identify complementary products or services that make sense for a specific customer, order, account or conversation. It combines approved product relationships with eligibility rules, inventory or service constraints, customer context and the stage of the interaction. Tranki designs the workflow to explain why an item was suggested and to keep the business in control of offer wording, frequency and approval.
What this agent can recommend
Model complementary relationships
Organize bundles, accessories, upgrades, adjacent services, replacement cycles and product dependencies using relationships your team approves.
Use the right customer context
Consider purchased products, current order, account segment, service history, declared needs, lifecycle stage and channel context when those signals are available and authorized.
Apply commercial guardrails
Respect eligibility, stock, geography, contract, margin, consent, frequency, pricing and channel rules before a recommendation reaches a customer or seller.
Explain and route suggestions
Show the reason, supporting signal, confidence or exception behind a suggestion, then present it to a customer or route it to a sales owner according to the agreed workflow.
Where it can help
Ecommerce accessory discovery
After a customer selects a primary product, suggest compatible accessories or services while checking availability, compatibility and the team's rules for offer frequency.
Account expansion planning
Help account teams spot adjacent products or services that fit an existing customer profile, with evidence and a review step before outreach.
Service package design
Pair a core service with maintenance, training, implementation or support options when the customer's needs and contract rules support the suggestion.
How it works
A step-by-step workflow your team can review before launch.
Define the offer map
Document products, services, relationships, exclusions, eligibility rules, ownership and the commercial outcomes the team wants to support.
Gather permitted signals
Connect the approved customer, order, catalog, inventory, contract or conversation signals needed for each channel.
Score and explain
Compare eligible complements, apply guardrails and prepare a recommendation with its reason, evidence, confidence and any exception.
Present and learn
Show the suggestion in the agreed channel or send it to a seller, then review acceptance, rejection, feedback and downstream outcomes with the team.
Built around your business
What we configure
- Product catalog, service catalog, bundles, compatibility rules and lifecycle relationships
- Customer segments, account tiers, order history, contracts, service history and declared preferences
- Inventory, geography, pricing, margin, eligibility, consent and frequency guardrails
- Recommendation explanations, seller handoff, offer copy, approval roles and experiment rules
- Commerce, CRM, subscription, support, inventory, marketing or analytics integrations
What we need from you
- A current catalog with identifiers, relationships, availability and ownership
- Approved cross-sell rules, exclusions, eligibility and communication policies
- Examples of useful, irrelevant and prohibited recommendations
- Access to the customer or order signals included in the agreed scope
- Named commercial, product, data, privacy and channel owners for review
Clear boundaries before launch
What it will not do
The agent does not guarantee revenue, conversion, customer satisfaction, product fit, availability or margin. It must not infer sensitive traits, use unauthorized personal data, recommend an incompatible offer, bypass consent or invent catalog, pricing or inventory facts. Human owners approve rules and material changes to customer-facing recommendations.
How success is measured
Measure recommendation coverage, eligibility accuracy, explanation review, acceptance and rejection rates, attach rate, revenue or service outcomes defined by the team, margin impact, complaint rate, opt-out behavior, recommendation fatigue and the rate of recommendations requiring manual correction.
Frequently asked questions
What does an AI cross-sell recommendations agent do?
It identifies eligible complementary products or services for a customer, account, order or conversation, explains the reason and presents or routes the suggestion according to your rules.
Can it recommend products automatically to customers?
The delivery channel and approval level are part of the tailored scope. Some teams start with seller suggestions or review queues before enabling customer-facing recommendations.
Can it use our catalog and inventory?
It can use approved catalog, compatibility and availability data when the required access and update process are scoped. The agent should not rely on stale or unverified inventory information.
How does it avoid irrelevant upsells?
We define relationships, exclusions, eligibility, frequency limits and context signals, then review examples of useful and poor recommendations before launch.
Can it connect to our CRM or ecommerce platform?
Connections can be included after we check the platform, APIs, permissions, data quality and required actions. Integrations are not automatically included in the $300/month starting price.
What does the $300/month starting price mean?
Tranki solutions start at $300 USD/month. We review your catalogs, channels, rules and integrations, then provide a proposal with the agreed scope and payment terms.
