Our personalization engine gives every buyer the experience built for them
Redefine's AI personalization engine serves business-to-business accounts, direct-to-consumer shoppers, program participants, and field reps a completely different experience from the same platform, in real time, without manual rules.
Showing every buyer the same store is leaving revenue on the table
- Every account sees the same homepage regardless of purchase history or contract items
- Product recommendations reset to zero every session. The platform has no memory of what they bought before.
- Sales reps have no AI signal on which accounts to call or which product to pitch this week
- Program store participants see 5,000 stock-keeping units when they need the 40 that match their role and budget
- Business-to-business portal behaviour does not inform direct-to-consumer recommendations and marketplace behaviour informs neither
- Account homepage surfaces the contract items, reorder candidates, and promotions relevant to that buyer
- Cross-channel AI memory means every session starts from where the buyer left off, across every touchpoint
- Reps receive a ranked next-best-action list each morning: which account, which product, which message
- Program store assortment collapses to the items each participant is most likely to reorder. Faster decisions, less friction.
- Business-to-business portal, direct-to-consumer storefront, and marketplace signals all feed one ecommerce personalization engine: one coherent buyer profile
Switch segments. Watch the experience change in real time.
Every buyer who lands on your store sees a different homepage, different recommendations, and a different content story. The same product recommendation engine serves them all, from the same catalog. Click a segment below to see how it works.
Marcus T., Procurement Manager
Acme Industrial Supply · 3-year account
AI action
Surface 12 contract reorder candidates on homepage. Apply account-specific pricing. Show Q2 volume promotion. Hide non-contracted categories.
Sarah K., Returning Shopper
Direct-to-consumer storefront · 7 purchases · Outdoor category
AI action
Show outdoor bundle recommendations built from her purchase history. Highlight 3 items she browsed on marketplace but did not buy. Offer loyalty tier progress.
James L., Field Technician
Participant store · Role: Field · Budget: $600/year
AI action
Collapse store to 42 role-eligible stock-keeping units. Surface 3 most likely reorders at top. Show budget tracker. Hide all non-eligible categories. Apply participant pricing.
Elena M., Account Executive
Territory: Northeast · 24 active accounts
AI action
Show rep a ranked account queue with a reason for each contact. Pre-populate pitch deck items. Link directly to the account's current cart and last order.
Good morning, Marcus. Your next predicted reorder is ready.
12 contract items due for reorder · Q2 volume discount applied
Your contract reorder candidates
Heavy-Duty Safety Gloves, Lot of 24
Contract price: $18.40 · Last ordered 34 days ago
Hi-Vis Vest Class 3, Pack of 12
Contract price: $9.80 · Last ordered 29 days ago
Nitrile Exam Gloves, Box of 100
Contract price: $12.20 · Volume discount active
Welcome back, Sarah. We noticed you browsed these on marketplace.
3 items waiting from your last browse session · Bundle discount available
Picked for you, outdoor & hiking
Trail Pack Pro
$89
Hydration Vest
$64
BrowsedTrekking Poles
$48
Bundle: Trail Pack + Vest + Poles
Save $22Hi James, Field Technician view active. 42 eligible items shown.
AI predicts your next reorder
Hi-Vis Safety Vest, Field Technician
Reorder cycle: 90 days · Due in 2 days
Flame-Resistant Work Shirt
Role-required item · Your size: L
4,758 non-eligible items hidden by AI
Today's AI-ranked account queue
Acme Industrial Supply
Overdue +8 daysPitch: Safety gear bundle Q2 · Estimated expand: $3,200
Northfield Manufacturing
Browse signalViewed workwear category 3 times last week · No order in 47 days
Summit Construction Ltd
Upsell readyOrdered personal protective equipment 4 times this quarter · AI: high bundle affinity
Everything your ecommerce personalization engine needs to serve every segment
Business-to-business account-aware personalisation
AI surfaces the products, promotions, and content each account is most likely to need, based on purchase history, contract items, and negotiated pricing. Every business-to-business buyer arrives at a homepage built specifically for their relationship with you.
- Contract item surfacing on homepage
- Account-specific pricing applied at render
- Reorder prediction from purchase cadence
Cross-channel AI memory
Buyer behaviour on the business-to-business portal, direct-to-consumer storefront, and marketplace all feed one AI memory layer. When your buyer browses on one channel, their next session on any other channel already knows what they care about.
AI assortment per program participant
Program store catalogs collapse to only the items each participant is eligible for and most likely to reorder. Role, department, budget remaining, and purchase cadence all shape what each person sees. No manual segment rules needed.
AI next-best-action for business-to-business reps
Customer relationship management-style account intelligence tells each rep which accounts to contact today, which product to lead with, and what the expand opportunity looks like. Pulled from portal behaviour, purchase gaps, and AI affinity signals.
Direct-to-consumer website personalization software
Session signals (categories viewed, cart adds, dwell time, and repeat visits) tune hero modules, product rails, and promo strips without a redeploy. This website personalization software shows each shopper a storefront that adapts while they browse.
Product recommendation software for dynamic bundling
The engine generates personalised product bundles per buyer or account based on purchase history, complementary item affinity, and margin targets. Bundles are built dynamically, not predefined by your merchandising team, so they stay relevant as buying patterns change.
- Generates bundles per buyer, not per campaign
- Margin-aware bundle composition controls
- Works on business-to-business portal, direct-to-consumer, and program stores
Live bundle example, Acme Industrial
AI-generated bundle: Field Safety Kit
Next suggested action
Surface bundle to rep + send personalised email to procurement contact with one-click add-to-cart
Product recommendation engine
Collaborative filtering, content-based affinity, and real-time session signals combine inside the product recommendation software to surface the right product at every touchpoint: homepage, product detail page, cart, post-purchase, and email. No manual curation work required.
Personalisation and user experience optimisation that scaled revenue
Company
Corporate Gear
Corporate branding and apparel ecommerce, serving businesses with branded merchandise and apparel solutions.
Problem
Corporate Gear needed to improve website usability and conversion performance while competing in a crowded business-to-business ecommerce market. Existing site experiences limited lead generation and lacked personalised content delivery for different buyer segments.
Solution and result
A/B and multivariate testing, combined with AI-assisted website personalization software and user experience optimisation, drove significant increases in website traffic, lead generation, and conversion rates across buyer segments.
increase in website traffic following personalisation and user experience improvements
average uplift in average order value when AI bundles are served versus standard catalog browsing
faster reorder time when AI surfaces contract candidates on the business-to-business portal homepage
of program store participants complete orders faster when the AI filters to role-eligible stock-keeping units
One AI memory layer across every channel and every segment
The personalization engine ingests behavioural signals from every channel, builds a unified buyer profile, and delivers segment-aware experiences without manual rules or segment maintenance.
Signal ingestion
Every browse, cart, order, and search event is ingested from business-to-business portal, direct-to-consumer storefront, marketplace, and rep activity in real time.
Profile construction
Signals are merged into one unified buyer profile: account history, contract items, affinity scores, and predicted intent. Updated continuously.
Experience computation
At page render, the product recommendation engine computes the optimal homepage layout, product ordering, bundle candidates, and content blocks for that specific buyer in that session.
Governed delivery
Every personalisation decision is logged, auditable, and overridable by your merchandising team. AI handles scale; your team controls the guardrails.
Other personalisation tools stop at direct-to-consumer. Redefine starts with business-to-business.
Most standalone personalisation tools are built for direct-to-consumer storefronts and require separate implementation for business-to-business, program stores, and rep tooling. Redefine's personalization engine is built into the platform. It knows your contracts, your accounts, your program rules, and your rep territories out of the box.
Contract-aware from day one
Contract items, negotiated pricing, and account credit limits inform every recommendation. The product recommendation software treats them as core inputs, not a bolt-on rule. It is built into the profile model from the start.
No separate tool to maintain
Other platforms bolt product recommendation software on via third-party integrations that drift out of sync. Redefine's engine runs inside the platform: one data model, no application programming interface tax, no sync lag.
Governed and auditable
Every ecommerce personalization engine decision is logged and explainable. Your merchandising team can review, override, or pause any rule. AI-recommended does not mean AI-uncontrolled.
Your team overrides AI at any time
AI makes the recommendation. Your merchandising team approves, adjusts, or overrides it before it reaches buyers. Governance controls sit inside the platform, not in a separate admin console your team has to learn separately.
- One-click pause on any personalisation rule
- Full audit trail of every AI decision by segment and buyer
- Merchandiser override takes priority over AI recommendation instantly
Questions buyers ask before choosing a personalization engine
Yes: the ecommerce personalization engine is built specifically to handle business-to-business complexity. Contract items, negotiated pricing tiers, account credit limits, and approval workflows all feed the profile model. The engine does not flatten business-to-business accounts into generic "segments." Each account gets a personalised experience that reflects its specific relationship with you.
The product recommendation engine starts from your historical order data, contract records, and catalog affinity on day one. It does not require a cold-start period. Rule-based recommendations are live immediately. AI-learned affinity signals improve over the first 30 days as new session data accumulates. Most accounts see measurable impact within the first billing cycle.
Full governance is built in. Your merchandising team can review every active personalisation rule, pause any rule with one click, set override priorities, and see a full audit trail of AI decisions by segment and buyer. You are never locked into a black box. The AI suggests, your team controls.
No. The AI builds buyer profiles from observed behaviour. You do not define or maintain manual segment rules. You can add business constraints (for example: never recommend out-of-contract items to account X), but the underlying personalisation is learned and maintained automatically. Segment maintenance time drops to near zero.
Yes. All three channels feed one unified AI memory layer. Behaviour on your business-to-business portal informs what a buyer sees on your direct-to-consumer storefront. A marketplace browse session is captured and reflected in the next business-to-business portal session. There is one buyer profile, not three separate tools trying to share data.
The rep intelligence layer reads from your existing customer relationship management contact and account data and writes AI-generated signals back as activity notes or tasks, depending on your customer relationship management system. Reps continue working in the tools they already use. The AI queue can surface inside your customer relationship management system or as a standalone rep dashboard, based on what fits your sales workflow best.
This engine is built for complex commerce, not generic storefronts
Good fit
- You sell business-to-business with contract pricing and account-specific catalogs
- You run program stores or team stores where participants have different eligibility
- You operate across multiple channels and want them all to share buyer intelligence
- Your sales reps need to know which accounts are ready to buy, not which accounts exist
Probably not the right tool if...
- You run a simple single-channel direct-to-consumer store with fewer than 500 stock-keeping units and no business-to-business layer
- You need a standalone content writing or email marketing tool rather than website personalization software and a full buyer profile engine
- You want AI to make all decisions without any governance layer or ability for your team to override
Not sure? Tell us your situation and we'll be straight with you.
Tell us about your personalisation challenge
Submit a brief and we will show you exactly how the AI engine would handle your segment mix.
Scoped before work starts
The personalization engine is scoped per your channel mix, account volume, and segment complexity: line-by-line, before any commitment. Typical engagements include a discovery phase, a configuration sprint, and a tuning period.
- Scoped before work starts
- Line-by-line pricing, no hidden costs
- No commitment to receive a proposal
Brief received
We will review your situation and send a scoped personalisation engine proposal within 3 business days. Expect a call within 48 hours to align on scope.
Stop showing every buyer the same store
Your business-to-business accounts, direct-to-consumer shoppers, program participants, and sales reps all deserve experiences built for them. Redefine's AI personalization engine makes that happen from one platform, from one data model, without a team of segment managers.
