Best PIM Solutions in 2026
Most PIM roundups tell you what each platform does. Hardly any tell you which one actually fits your business, and none mention what tends to go wrong 18 months after...
Published: Apr 13, 2023 Updated: Jul 15, 2026
According to McKinsey, cross-selling and category penetration techniques including product bundling, can increase sales by 20% and profits by 30%, which is why most eCommerce and merchandising teams are already doing some version of it. The harder part is doing it well: picking the right bundling model, pricing it so it moves product instead of just discounting margin away and managing it across channels without your product data turning into a mess of stale prices and mismatched components.
This guide covers what bundling is, the main types worth knowing, how bundling differs from kitting (a related but distinct practice), pricing strategy, and how a PIM makes the whole thing manageable at scale.
Product bundling means grouping two or more products together and selling them as a single offer, usually at a price that’s better than buying each item separately. The individual SKUs stay intact. Bundling is a merchandising and pricing decision, not an inventory or catalog restructure.
The reason it works comes down to a few things happening at once. Customers perceive more value in a bundle than the sum of its parts, even when the actual discount is modest. It reduces decision fatigue. Instead of evaluating five separate purchase decisions, the customer makes one. And for the business, it’s a direct lever on AOV, plus a way to move slower stock alongside bestsellers without discounting the bestseller itself.
Bundling also gives you a path to sell complementary products together that customers might not think to pair on their own. A skincare routine instead of a single cleanser, a full workwear set instead of one pair of trousers. Done well, it feels like a recommendation. Done poorly, it feels like the business is trying to offload inventory, so the pairing logic matters as much as the discount.
Not all bundles work the same way, and picking the wrong type for the situation is usually why a bundle underperforms.
Pure bundling is when products are only available as part of the bundle, not sold individually. This works when you want to fully control the offer and pricing, and it’s common for exclusive or limited-run product sets.
Mixed bundling keeps products available both bundled and standalone, letting customers choose. This is the most common approach for retail because it doesn’t force the purchase decision. It just makes the bundle the more attractive option.
Cross-sell or complementary bundling groups products that naturally go together: a camera with a case, a cleanser with a moisturizer. The value proposition is convenience, with everything needed for one use case in a single purchase.
Volume or quantity bundling is the buy-more-save-more model: three of the same item at a per-unit discount. This is less about pairing complementary products and more about incentivizing larger basket sizes on things customers already buy repeatedly.
Seasonal or promotional bundling groups existing products around a campaign window, such as a holiday gift set or a summer grilling collection, and gets retired when the season ends. No permanent catalog changes required.
Gift bundling is built specifically around gifting occasions, often with its own packaging and presentation, even though the components are standard catalog items.
Most retailers end up running several of these simultaneously, with mixed bundling as the default retail approach and seasonal bundles layered in around key campaign windows.
Bundling sometimes gets confused with kitting, and it’s worth a quick distinction since the two have different operational implications.
Kitting means creating a new SKU that combines multiple products into a fixed package — the components get picked, assembled, and shipped as a single item. Bundling keeps the original SKUs intact and simply groups them for pricing or promotional purposes at checkout.
| Kitting | Bundling | |
|---|---|---|
| SKU treatment | New parent SKU created; components tracked separately | Existing SKUs grouped; no new SKU required |
| Inventory impact | Tracked at kit level or deducted from component stock | Each SKU's inventory tracked independently |
| Fulfillment | Picked and packed as a single unit; may require pre-assembly | Picked as individual items; packed together at fulfillment |
| Pricing | Usually a fixed kit price (not the sum of parts) | Often a promotional discount applied to a grouped purchase |
| Best for | Curated product experiences, starter sets, accessories packs | Bulk incentives, clearance, cross-sell promotions |
| Customer perception | "Everything I need in one package" | "I'm saving money by buying more" |
If you’re running a seasonal promotion or a volume discount, that’s bundling. If you’re creating a new, permanent product that happens to be made of several components, that’s kitting. Some catalogs use both, and a PIM handles the data for each differently, but they’re not interchangeable strategies.
Bundling is simple with two or three products. It gets complicated fast once you’re running dozens of bundles across multiple channels, each with its own pricing rules, and each dependent on component products that change independently. With up to 30% of eCommerce revenue now coming from bundled products, getting the data infrastructure right is no longer optional.
A PIM centralizes the product relationships behind every bundle, so when a component’s price, description, or image updates, that change flows through to every bundle it’s part of, automatically, across every channel it’s synced to. That’s the piece that breaks down in spreadsheet-managed catalogs: a price change on one component doesn’t get reflected in the three bundles it belongs to, and now you’ve got inconsistent pricing live on your storefront.
Setting a bundle up in a PIM generally follows the same steps regardless of platform:
Because the components stay linked to the bundle, none of this needs redoing every time an individual product changes.
Pricing is where most of the actual strategy sits, and it’s worth treating separately from the mechanics of building a bundle.
Fixed discount bundling applies a flat percentage or dollar amount off the combined price. It’s the simplest model and works well when the goal is a straightforward incentive to buy more.
Price-per-unit bundling frames the discount as a lower per-unit cost when buying in volume — three for the price of two-and-a-half, for example. This works particularly well for consumable or repeat-purchase items.
Anchor and decoy pricing uses the bundle to make the bundled price look like the obvious choice — showing the sum of individual prices crossed out next to the bundle price, or offering a mid-tier bundle specifically to make the top-tier bundle look like better value by comparison.
Dynamic or demand-based bundle pricing adjusts the discount based on signals like inventory levels or demand. Bundled products turn over 30% faster than individual items on average, which is why tying discount depth to inventory pressure makes commercial sense. This model depends entirely on having clean, structured product and inventory data to work from.
When not to discount: pure bundles built around high-demand or exclusive products don’t always need a price break — the value proposition is the curation and exclusivity, not the savings. Not every bundle needs to be a discount play.
Beauty: A skincare bundle groups a cleanser, moisturizer, and sunscreen as a routine, priced slightly below the sum of the individual items. The value proposition is completing the routine, not just saving money.
Workwear: A uniform distributor bundles packs of three workwear trousers at a 15% discount. No new SKU, just a promotional grouping. The individual SKUs remain available at full price and inventory is tracked at the individual trouser level.
Food and Beverage: A specialty food brand creates a “Summer Grilling Bundle” grouping three existing hot sauce SKUs at a discount. It runs during peak season and gets retired when the campaign ends. No warehouse reconfiguration needed.
Electronics: A home office bundle pairs a monitor stand, cable organizer, and desk lamp as complementary but separately stocked items grouped around a single use case.
Apparel: A multi-brand retailer creates a holiday gift bundle of a scarf, gloves, and beanie sold together for the season, with each component still available individually.
Managing kits and bundles with spreadsheets creates compounding problems: wrong component lists, stale pricing, channel sync failures, and inventory mismatches. A PIM resolves all of this by making your product data, including bundle relationships, the single source of truth across every sales channel.
Step 1: Define your kit or bundle structure
Decide which type of grouping you’re creating (kit = new SKU, bundle = promotional grouping), identify the component SKUs, and confirm inventory treatment with your warehouse or operations team before you build anything in the system.
Step 2: Create the parent record in your PIM
For kits: create a new SKU with its own attributes, including name, description, pricing, dimensions, and images. This is a standalone product record that references its component parts. For bundles: create a product relationship grouping within existing records without generating a new SKU.
Step 3: Enrich the kit or bundle product data
A kit or bundle deserves the same level of content as any individual product, including a clear product title, benefit-led description, high-quality images showing the full package, and spec details where relevant. Pimberly’s catalog management capabilities let you enrich this content centrally and push it to all channels automatically.
Step 4: Set pricing and discount logic
Configure pricing rules at the kit or bundle level, whether that’s a fixed price for the kit or a percentage discount on the bundle. This avoids manual price updates across individual channel listings.
Step 5: Map inventory relationships
For kits: decide whether inventory is tracked at the kit level or deducted from component stock when a kit sells. For bundles: confirm that component inventory remains the live count since the components are still sold individually. Your PIM should be the reference point that keeps this logic consistent. For deeper thinking on pricing decisions, see how centralized product data helps you know what to discount.
Step 6: Syndicate to channels
Once the product data and pricing are correct in your PIM, push to your sales channels including your eCommerce storefront, marketplace listings, wholesale portal, and print catalog. PIM automation handles the channel-specific formatting so you’re not manually adapting each listing.
Step 7: Monitor performance and iterate
Track which kits and bundles drive the highest AOV, conversion rate, and return rate. Use that data to inform your next set of configurations. Bundles are particularly easy to rotate seasonally once your data infrastructure is in place.
Product bundling is grouping two or more products together and selling them as a single offer, usually at a better price than buying each item separately, without changing the individual products’ SKUs.
The core types are pure bundling, mixed bundling, cross-sell bundling, volume bundling, seasonal/promotional bundling, and gift bundling. Most retailers run a mix depending on the season and product category.
Bundling groups existing SKUs without creating a new one. Kitting creates a new SKU from combined components, which changes how the product is inventoried and fulfilled.
It depends on the goal. Fixed discounts work for straightforward incentives, volume pricing works for repeat-purchase items, and dynamic pricing works when you want the discount to respond to inventory or demand. Not every bundle needs a discount at all.
No — since bundled SKUs remain individual products, their inventory is tracked independently. This is one of the key differences from kitting, where inventory may be tracked at the kit level.
Yes. A PIM can automate bundle pricing rules, propagate component updates across every bundle automatically, and sync bundle data to every sales channel without manual re-entry.
Bundling is one of the most reliable levers available for increasing AOV and moving inventory more efficiently, but it only works if the pricing strategy fits the goal and the underlying product data can keep up as the number of bundles grows. Pick the bundling type that fits the goal, price it deliberately rather than defaulting to a discount, and keep kitting and bundling logic separate so inventory and fulfillment don’t get tangled.
The common thread across every type and pricing model here is that none of it holds up on spreadsheets once you’re running more than a handful of bundles at once. Pimberly centralizes the product relationships behind every bundle, so pricing, descriptions, and component updates stay consistent everywhere they’re sold, without manual cleanup every time something changes.
If bundles are still being managed through spreadsheets or one-off channel settings, that’s the first thing worth fixing before scaling up how many you’re running.


