Sparande E-commerce · A focused app powered by SparGrid

AI finds the possibilities. Our maths verifies what is safe to launch.

Every product page can help grow basket value, improve conversion and recover ageing stock. Bundle Optimizer uses AI to search your whole catalogue for products that belong together, from day one and before you have any sales history. Then quantitative checks on product fit, sales evidence, cost, margin and stock decide which of those ideas are safe to put in front of a shopper.

The result is a range of offers you can trust: products that go well together at regular price, curated bundles, Buy X Get Y, quantity breaks, post-purchase upsells and clearance sets for when inventory recovery matters most.

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See Bundle Optimizer at work: AI suggests, deterministic maths decides

One minute, with real screens from the app and a live storefront. AI only suggests which products belong together across your catalogue. Whether an offer is safe to launch is always decided by deterministic, quantitative mathematics, tested on product fit, sales evidence, cost, margin and stock. AI never sets a price or a discount, and nothing reaches your storefront until you approve it.

  • AI only suggests which products belong together. AI never sets a price
  • Deterministic, quantitative mathematics decides every offer and discount
  • Nothing reaches your storefront without your approval
Read the transcript

Every product page can help grow basket value, improve conversion and recover ageing stock. Bundle Optimizer finds opportunities across your catalogue. AI finds possibilities. Our maths verifies what is safe to launch. Recommend products that go well together at regular price, with no discount required. When discounts can help, Product Fit, sales evidence, cost, margin and stock checks protect the economics. Launch curated bundles, build-your-own sets, upsells and Buy X Get Y offers. Create clearance bundles when inventory recovery matters most. Install Sparande Bundle Optimizer today and start your seven-day free trial.

AI you can launch with confidence

We use AI for what it does best: spotting possibilities a person would never have time to find. We do not let it set your prices or publish offers on its own. Every idea it proposes has to pass our quantitative checks before it reaches your storefront, so you get the reach of AI with the safety of mathematics.

AI finds the possibilities

AI reads your catalogue and proposes products that pair well, from the first day, before you have sales history to learn from.

Maths verifies what is safe

Product fit, sales evidence, cost, margin and stock are checked on every proposal. Anything that fails is held back, with the reason shown.

Evidence grows with your sales

As orders arrive, sales evidence strengthens the recommendations that are working and flags the ones your customers disagree with.

New · Goes well with

Grow the basket without giving away a penny of margin

A snowboard needs wax. A camera needs a memory card. “Goes well with” puts the products that belong together right below Add to cart, and the shopper adds the whole set in one click.

Every item stays at its regular price. A good suggestion does not need a discount to work, so each extra item added is full-margin revenue on traffic you have already paid for.

AI proposes each set from your catalogue. Before any set appears on your storefront, our maths confirms it passes every check:

  • In stock and purchasable
  • Price known
  • Fit and sizing compatible
  • Not excluded by your rules
  • Not already live

Each set comes with a “Why this?” view that shows its match score, product fit and the evidence behind it. Sets refresh after every catalogue sync. You can hide any set with one click, or switch the feature off in settings.

Storefront product page for The Collection Snowboard: Liquid at $749.95. Below the Add to cart and Buy it now buttons, a Goes well with card pairs the snowboard with Selling Plans Ski Wax at $24.95, notes each item at its regular price, and offers Add all to cart and Buy it now buttons.
“Goes well with” on the product page, each item at its regular price

One engine, three revenue paths

The diagram on the brief is easier to consume when split into three screens: profitable bundles, revenue levers, and clearance mode. Each one is responsive, so the story stays readable on a laptop instead of running off the edge of the page.

02

Revenue levers

Add quantity breaks, post-purchase upsells, countdown timers, and individual-item bundle upsells to lift basket size without making the shopper work harder.

Quantity breaksPost-purchase upsellCountdown timerItem-level upsell

The app can stack these levers around the core offer so the experience feels cohesive, not stitched together.

03

Clearance mode

Run the same offer structures in clearance sales when the commercial objective is sell through. Cost price can be optional, so the merchant can prioritize inventory recovery and cash conversion.

Merchant-curatedCost price optionalBelow cost if neededStock clearance

This is the same engine, tuned for a different job: move stock with a controlled discount strategy.

From data to profit, automatically

Bundle Optimizer turns your catalogue and cross-channel purchasing signals into profitable actions. AI discovers the opportunities; quantitative mathematics verifies each one before it can launch. Configured for you, not by you.

Connect the channels, validate the opportunity, forecast the impact, then choose the offer that fits the job.

  1. 1
    Connect channels

    Sync your store and the marketplaces you sell on, with order history, catalog, and inventory.

    Channels connected

    • ShopifyConnected
    • AmazonConnected
    • eBayConnected
    • BigCommerceConnected
    • More channelsConnected
  2. 2
    Bundle/set opportunities

    AI proposes pairings from your catalogue, then quantitative models weigh your omnichannel order history and match each opportunity to the offer format the evidence supports.

    Every set type, ranked by evidence

    • Fixed-price bundlesProducts already bought together
    • Buy X, get YQuantities that lift the basket
    • Mix & match, lowest item freeSets that flex to the shopper
  3. 3
    Bundle safety

    Every opportunity is validated for inventory, MAP compliance, brand rules, and profitability.

    Safety checks

    • InventoryPass
    • MAP and brand rulesPass
    • ProfitabilityPass
    • Cannibalization riskLow
  4. 4
    Revenue forecast

    We forecast AOV lift, revenue, margin, and inventory impact before anything goes live.

    Forecast, next 30 days

    • +18.4%AOV lift
    • +$24,560Revenue lift
    • +15.7%Margin lift
    • 2,340Units impacted
    • 6.2xROAS
    • LowRisk level
  5. 5
    Launch center

    Review and approve. We create everything for you: bundles, discounts, and the storefront experience.

    Ready to launch

    • Bundle product (draft)
    • Discounts (draft)
    • Upsell (post-purchase)
    • Theme and app block

    Review and launch

Evidence-driven revenue levers

Auto-configured

AI suggests what could go together. The models then test each idea against purchasing evidence, unit economics, and margin constraints, and set what to charge. Nothing launches on a guess.

AI-discovered, quantitatively verified

AI widens the search. Quantitative models keep only the offers that stay profitable against purchasing evidence, unit economics, and margin constraints.

AI + quantitative checks
Curated bundles

Ready-made product combinations.

Buy X, get Y

Buy a qualifying quantity and unlock another unit of the same product, or a different one.

Same item→

Different item→

Mix & match, lowest item free

Any X from the eligible products, or all of them; the lowest-priced item is free.

Individual-item bundle upsell
High impact

Promote curated bundles from relevant product pages.

Frequently bought together

Bundle price: $159.99Save $29.00

Add bundle to cart

Quantity breaks and volume discounts
High impact

Auto-generate tiered discounts that drive larger orders.

BuyGetPrice eachYou save
1 to 2–$29.99–
3 to 510% off$26.99$9.00
6 or more20% off$23.99$36.00

Stock clearance offers

Merchant-curated

For seasonal or excess stock. You choose the products and, when the objective is sell-through, you can allow pricing below cost to clear it.

Curated bundles

Ready-made product combinations.

Buy X, get Y

Buy a qualifying quantity and unlock another unit of the same product, or a different one.

Same item→

Different item→

Mix & match, lowest item free

Any X from the eligible products, or all of them; the lowest-priced item is free.

  1. 1. Select offer format and products

    Choose curated bundles, Buy X get Y, or mix & match with lowest item free.

  2. 2. Set pricing, optionally below cost

    Set a minimum price, and allow below cost if that is what it takes to clear stock.

  3. 3. Clear stock faster

    Launch offers to move inventory and recover space.

Conversion boosters

Available on both

Urgency and post-checkout add-ons that layer on top of an offer rather than choosing it. They attach to evidence-driven levers and to stock clearance offers alike.

Countdown timer
Easy win

Create urgency on discounts and offers automatically.

Limited time offer ends in

02:18:45

HrsMinsSecs

Post-purchase upsell
Highest value

Offer relevant add-ons after checkout using proven affinity data.

Thank you. Add this to your order?

Travel charger$19.99

Add to order

Settings and guardrails

Set your rules once. We handle the rest.

  • MAP floors
  • Profit targets
  • Inventory buffers
  • Brand rules
  • Channel priorities
  • Discount limits
Continuously learning

We monitor measured results and keep optimizing for more profit.

Bundle Optimizer brings the commercial decision and the launch controls into one governed workflow.

What Bundle Optimizer does

  • Uses AI to discover pairings across your catalogue, then verifies each one with quantitative checks
  • Shows products that go well together on product pages, each at its regular price with no discount
  • Generates fixed price bundles, Buy X Get Y, and mix & match, lowest item free offers
  • Supports clearance campaigns where cost price can be optional or de-emphasised
  • Creates quantity breaks that encourage larger baskets without manual pricing work
  • Adds post-purchase upsells, countdown timers, and individual-item bundle upsells
  • Applies pricing and guardrails automatically, then waits for merchant approval
  • Helps the team choose the safest and strongest offer format for the situation
  • Tracks the launch outcome so future offers are based on results, not instinct

Operating model

Bundle Optimizer follows a simple control loop: identify the opportunity, validate the commercial case, route it for approval, then measure the result after launch.

Trigger

AI spots a pairing in your catalogue, or basket behavior, inventory pressure, or a promotional goal shows that a bundle or upsell could improve revenue or sell-through.

Action

The system recommends the bundle structure, pricing, and activation method, then waits for operator approval before anything is launched.

Measure

After launch, Bundle Optimizer tracks conversion, attach rate, average order value, revenue impact, and clearance progress so the team can see what worked.

Product philosophy: mechanics are outputs, not toggles

Bundle Optimizer should not feel like a manual promotion builder. The merchant defines the commercial goal, and the app produces the best-fit offer mechanics with the right controls in place.

  • We found a bundle opportunity.
  • Here is the expected lift, price point, and revenue path.
  • Here is the safest activation method for the offer.
  • Review, approve, or dismiss.

What your customer actually sees

Once the merchant approves the recommendation, Bundle Optimizer renders the offer natively in the theme. The customer sees a clear promotion, not a complicated setup workflow.

Curated bundle

Sell the set your order history already proves

Bundle Optimizer reads the products that already convert together and presents the whole set as a single, profitable offer. A set is rarely just two items, so the pricing is calculated across every product in it, against the margin you can afford. There is no guesswork at launch and no manual discounting to manage later.

It is designed to improve basket value on traffic you have already earned.

Storefront bundle widget showing two snowboards and ski wax offered together at a bundle price of $1,119.89 against $1,399.86 bought separately, a saving of $279.97 applied at checkout.
Frequently bought together, on the product page
Clearance sets work the other way

You can also build your own clearance set, waive the cost-price rule, and let it clear below the usual cost plus one percent floor when sell-through matters more than margin.

Mix & match, lowest item free

Let the shopper choose, and give them the cheapest one free

The shopper builds the basket, and the cheapest item in it comes off the bill at checkout. Because the discount is always the lowest-priced product, the cost of the offer is bounded before you launch it, whichever combination the shopper picks.

Mix & match comes in two forms, and you choose which one an offer uses:

Any X from the eligible products
You set the qualifying quantity and the pool it can be drawn from. The shopper picks any X of those products, and the cheapest of the ones they picked is free.
All of the eligible products
The offer only applies when the shopper takes the whole eligible set. The cheapest product in that set is free, so the discount is known in advance.
Storefront mix and match widget with three products selected, a buy three cheapest free badge, and a line reading choose any 3 of these 3 products, the lowest-priced item you choose is free. The shopper pays $1,635.90 rather than $1,675.86, with the $39.96 cheapest item deducted at checkout.
Mix & match with the lowest-priced item free
Buy X, get Y free

Buy the qualifying products, and one of them is free

The shopper hits a qualifying quantity and something in the order stops being charged for. Bundle Optimizer works out what the giveaway costs against the margin on the qualifying products, so the offer is priced before it is published.

Buy X, get Y comes in two forms, and you choose which one an offer uses:

The free item is the same product or products selected above
A shopper buying the qualifying products gets more of the same, free. Four boards go in the cart and three are paid for.
The free item is a different product
You choose separately what the shopper receives, rather than giving away another unit of what they are already buying.
Storefront bundle widget badged 4 for the price of 3, showing four units of the same snowboard at $785.95 each, with a bundle price of $2,357.85 against $3,143.80 and a $785.95 saving applied at checkout.
Four for the price of three, all the same product
Buy X, get Y free

Or pick a different product as the free one

Here the qualifying products are the snowboards and the free item is the ski wax. The shopper still sees a three-for-two, but the giveaway is a low-cost accessory rather than another unit of the hero product.

That is usually the cheaper way to run the same headline, and it puts a second product in the box, which is often the one that brings the customer back.

Storefront bundle widget badged 3 for the price of 2, showing two Multi-location snowboards at $729.95 each and Selling Plans ski wax at $39.96, with a bundle price of $1,459.90 against $1,499.86 and a $39.96 saving applied at checkout.
Three for the price of two, with the free item chosen by you
Volume incentive

Move more units per order with quantity breaks

When the commercial case calls for depth rather than breadth, Bundle Optimizer builds the tiers and shows the shopper exactly what the next step is worth.

The app checks cannibalisation, margin pressure, and stock cover before the offer goes live, so volume does not quietly cost you more than it earns.

Storefront quantity break widget offering 10 percent off at three units and 15 percent off at six units, with the running total and saving shown.
Quantity breaks with live basket maths
Timed promotion

Create urgency with a countdown that turns itself off

Scarcity works when it is honest and time-boxed. Bundle Optimizer schedules the offer, shows the countdown in your theme, and retires it on the date you signed off.

Afterwards you get the number that matters: conversion, attach rate, average order value, and attributed revenue for that window.

Storefront product page showing a limited-time offer countdown panel above the add to cart and buy it now buttons.
Limited-time offers that expire on their own

Clear boundaries

Bundle Optimizer owns

  • Bundle structures, offer mechanics, and pricing logic
  • Guardrails for launch, clearance, and promotion control
  • Launch monitoring and post-launch performance review

Belongs elsewhere

Powered by SparGrid

Bundle Optimizer is a focused app that runs on the SparGrid platform. It puts the bundle and promotions engine to work on one job: discovering, validating, and safely launching offers that improve revenue or clear stock. SparGrid itself runs ten business agents and sixty capabilities across every channel, so when you need more than bundles, you can adopt the full platform without changing tools.

Let AI find the possibilities. Let the maths keep them safe.

Bundle Optimizer gives you regular-price “Goes well with” sets, fixed price bundles, Buy X Get Y, mix & match with the lowest item free, quantity breaks, post-purchase upsells, countdown timers, and clearance offers in one governed workflow. Install it today and start your seven-day free trial.

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