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AI Bundle Recommendation
Customers see the bundles they are already buying together, offered automatically instead of guessed at.
Your customers are already building bundles every day. They just do it one order at a time. This service studies which products sell together in your order history, ranks the strongest pairings and delivers them on a schedule you set. Your merchandising team decides which bundles go onto product pages, the cart or email. Nothing is applied to your store without you.
- Ranked product pairings drawn from your real order history
- Clearance and seasonal items kept out by your own rules
- Alerts when a pairing starts or stops selling together
$2,900
20–30 working days
Optional maintenance $249/mo
What it is
AI Bundle Recommendation is a service that studies which products your customers already buy together and turns that pattern into ready-to-use bundle suggestions for your product pages, cart and marketing emails, refreshed on a schedule you set. Each pairing is ranked by how often it sells together and the extra revenue it brings.
Why businesses buy it
Most stores guess at bundles, or build them once and never revisit them. Meanwhile real pairings sit unnoticed in the order data, and average order value stays flat. This service does the analysis your team never has time for, then keeps it fresh as buying habits shift with the seasons. You still choose what to sell together. The scope is written before you pay: which store data it reads, how pairings are ranked, where the report lands and how it is tested, so you know exactly what you are getting.
Problems this solves
Bundles are picked by gut feel rather than real buying patterns
The service studies order history from up to three read-only sources to find products customers already buy together. Each pairing is ranked by how often it sells together and the extra revenue it brings.
Bundle ideas go stale soon after they are launched
Suggestions refresh on the schedule you set, so pairings reflect recent orders. Up to five alerts can flag movement in the bundle metrics you choose to track.
Product pages, cart and emails each promote different combinations
One ranked list of bundle suggestions arrives through a dashboard or recurring report. Your team can use that same list across product pages, cart and marketing emails.
A good fit if
You run a catalog with dozens or hundreds of SKUs and can see repeat purchase patterns in your order history, but nobody has time to find them by hand.
You already publish product pages, a cart or marketing emails, and want bundle suggestions fed into whichever one you pick as the single delivery channel.
You sell through Shopify, WooCommerce, BigCommerce or Adobe Commerce and can grant read-only access to your catalog and order data.
You want a recurring report or dashboard showing the strongest bundle opportunities, not a fully automated widget that applies them for you.
Not the right fit if
You want the bundles assembled and discounted automatically at checkout. That build sits outside this dashboard's scope; add a note at checkout for a Custom AI inquiry.
Your real problem is deciding discount depth and timing for a sale, not which products pair well. See AI Promotion Planner, which plans promotions and estimates their margin impact.
You need pricing recommendations based on margin, stock and competitor data, not co-purchase patterns. See AI Ecommerce Pricing Assistant.
Your goal is getting lapsed customers to buy again, not finding new pairings for active shoppers. See AI Win-Back Agent, which re-engages lapsed customers with offers matched to their history.
How it works
- We connect read-only to your store platform, such as Shopify, WooCommerce or BigCommerce, and pull at least three months of order history.
- The service groups products by how often they appear in the same order, and ranks pairings by frequency and by the extra revenue they bring when bought together.
- Top pairings are checked against rules you set, such as excluding seasonal or clearance items, so every suggestion stays sellable.
- Ranked bundle suggestions are delivered to the one channel you chose: email, Slack or a dashboard, refreshed on the schedule you agreed.
- Up to five alerts flag sudden shifts, such as a pairing that stopped selling together or a new one that just started.
- You and your merchandising team decide which suggestions go live on product pages, in email flows or in the cart. We do not auto-apply them.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Read-only access to your store platform's order and catalog data, such as a Shopify or WooCommerce staff account or API app.
- At least three months of order history, so real co-purchase patterns can be measured rather than guessed at.
- Your own definitions for the metrics that matter to you, such as what counts as a bundle worth reporting.
- The recipients and delivery channel for the report, whether that is an inbox, a Slack channel or a dashboard login.
- Your shipping, returns and refund policies, so suggested bundles never mix items with conflicting rules.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- Your business information (company basics, hours and brand voice), shared during intake.
- One person on your side who can approve the final bundle logic and sign off on launch.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified, data sources and target metrics confirmed.
Weeks 1–2
Order history analyzed and bundle-scoring logic built.
Week 3
Read-only connections to your store platform and other data sources set up.
Weeks 3–4
Results checked against three months of your historical data.
Week 4
Your review and two rounds of changes to the ranked suggestions.
Go-live
Live, recorded handoff session, support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $2,900 |
| Express | 15–25 working days | $3,400 |
| Rush | 10–20 working days | $3,900 |
What you receive at handover
- AI Bundle Recommendation configured and deployed in your environment
- Read-only connections to up to three agreed data sources
- A ranked bundle list delivered as a dashboard or recurring report, with up to five alerts
- A test report checked against three months of your historical orders
- An admin guide, the recorded 60-minute handoff and 30 days of post-launch support
Expected benefits and how to measure them
- Helps base bundle offers on evidence from your own orders
- Can keep bundle ideas fresh without a manual review each season
- Gives marketing and merchandising one shared list to work from
- Bundle attach rate
- Count orders that include a suggested pairing as a share of all orders, monthly, from your store platform's order export.
- Average order value
- Compare your store's sales report for the four weeks before bundles go live with the four weeks after.
- Units per order
- Read it from the same sales report and compare the same two periods.
Before you start: Record last month's average order value and units per order. List any bundles you already sell and how many orders included them.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is one-time. Running the dashboard afterwards costs roughly $20 to $150 a month, covering AI model usage plus the hosting and scheduler that refresh your report. Catalogs with only a couple of read-only connections tend to sit toward the lower end of that range.
AI usage during the build and testing is billed to your own accounts too, so every provider relationship stays yours. Nothing runs through us.
Ask about running costsCustom requirements
If you need more than three data sources, another language, or extra dashboards, add a note at checkout. You get a written Change Quote, and your original order still runs on its normal timeline. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
For this build we recommend monthly maintenance: monitoring, fixes, and a monthly allowance of change hours, enough to add a metric or adjust which pairings count as a bundle. It starts after the thirty days of support included in the build, bills monthly, and can be cancelled any month.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A merchandising app charges a recurring subscription regardless of how many bundles you actually use | A custom agency quotes after discovery calls | Ours is one fixed price, shown before you buy |
| Scope | A merchandising app bundles this feature with modules you may not need | An agency agrees scope during the project | Ours is written on the Scope Card before purchase |
| Delivery | A merchandising app can go live the same day but tuning it takes weeks of trial and error | An agency usually takes several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
| Data used | A merchandising app often relies on generic industry rules | An agency build depends on what was agreed | Ours is built from three months of your own order history |
Questions about this product
What does the AI Bundle Recommendation build include?
It covers a read-only connection to your store, the bundle-scoring logic, the rules that keep clearance and seasonal items out, a test against three months of your order history, two rounds of changes and a recorded handoff session. The fixed price is shown on this page before you order, and nothing is added later without a written Change Quote.
How much does AI Bundle Recommendation cost to run each month?
Roughly $20 to $150 a month, covering AI model usage plus the hosting and scheduler that refresh your bundle report. You pay that directly in your own accounts, not to us, so there is no markup on the usage. Most catalogs with a couple of read-only connections land toward the lower end.
How long until AI Bundle Recommendation is live?
Delivery runs on a fixed schedule shown before you buy, with faster options if you need bundles ready for a launch or a sale. The clock starts once your data sources, metric definitions and report recipients are confirmed, usually within 72 hours of ordering. You review the first ranked bundle report before launch, so nothing goes live untested.
What store access does AI Bundle Recommendation need?
Read-only access to your catalog and order data, plus at least three months of order history, shared by adding our team as a user or creating a key you control, never by email. We never need write access, because the output is a ranked list of suggestions for your team to publish, not an automatic action on your store.
Can I change which metrics AI Bundle Recommendation tracks later?
Yes. Small adjustments, such as adding a metric or changing which pairings count as a bundle, fit inside the monthly change hours that come with maintenance. A new data source or an added delivery channel is handled as an add-on or a Change Quote, priced before it starts.
Can I cancel the AI Bundle Recommendation maintenance?
Yes. Plans bill monthly and you can cancel any month, with no long-term contract. The build itself includes thirty days of support after launch at no extra cost, so cancelling early just means changes after that window are no longer covered.
Who owns the bundle logic AI Bundle Recommendation builds?
You do. The configuration, the scoring logic and the report live in your own accounts and store platform once the build is delivered. If you later move to a different agency or bring the work in-house, nothing about it is locked to us.
Guides on this topic
All guides Stop guessing which products sell each other.
Order AI Bundle Recommendation and get ranked bundle suggestions built from your own order history, on a fixed delivery date, with your team deciding which ones go live.
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