Turn post-sales complexity into revenue, retention, and circularity.
LoopOS Flux helps teams decide the best next action for every customer and every item, using product history, customer context, natural-language business rules, and human-in-the-loop AI.
The challenge
Too many post-sales decisions still run on fragmented context.
Returns, warranty, repair, trade-in, resale, and recycling are often handled as separate flows. That creates slow decisions, inconsistent outcomes, and missed recovery value.
The platform
One operating layer for customer, product, and business context.
Flux connects category, product, item, and consumer data into a single decision layer. AI reads that context, surfaces eligible paths, summarizes the case, and supports the next best action.
The outcome
Better experiences, faster operations, stronger economics.
Teams reduce avoidable returns, increase repair and trade-in conversion, improve consistency across channels, and unlock more value recovery across the lifecycle of every item.
Built for real post-sales operations, not generic chat demos.
Flux combines decision support, operational configurability, and AI-ready workflows into one product experience that spans consumer journeys and internal operations.
Customer next-best-action
Guide each consumer toward the best path across return, warranty, repair, trade-in, marketplace, or recycling, with recommendations grounded in actual context.
Human PLM for the lifecycle
Keep the evolving history of the product and the customer in natural language, so every new case starts with context instead of guesswork.
Natural-language business rules
Configure category, product, and use case logic in language your operations team can understand, refine, and scale.
Human-in-the-loop AI
Use AI to summarize cases, support diagnosis, and recommend actions, while keeping operators and consumers in control of final decisions.
Configurable note types across every model
Define different note kinds and classifications once, then use them across categories, products, items, and consumers to encode business rules, operating guidance, characteristics, and activity history.
LoopOS AI
A real product surface, not a marketing promise.
The platform exposes AI summaries, customer context, item history, and configurable prompts directly in the operator's workflow, ensuring every decision is backed by data.
Ricardo owns an iPhone 14 bought around seven months ago. Flux can combine item history, product rules, and customer context to assess warranty eligibility, support diagnosis, and recommend the highest-value next action.
- Return
- Warranty Repair
- Repair Service
- DIY Repair
- Trade-In
- Marketplace
- Recycling
From consumer journey to operational intelligence.
Explore the core modules that power a seamless customer experience and the back-office logic behind every decision.
Consumer flow
A guided front-end flow helps the customer identify the item, describe the issue, and move toward the most relevant post-sales option.
Catalog with AI summaries
Category-level intelligence makes it easier to understand what exists in the catalog and how rules differ across brands and product families.
Configurable AI layer
Prompts and business logic live inside the product, making the system adaptable without relying only on hard-coded decision trees.
Note kinds as business configuration
Operations teams can configure reusable note types such as rules, characteristics, information, and activities, then attach them to every business object in the system.
Business rules in natural language.
Configure business rules easily in natural language. Define grades, pricing, eligibility, and impact once — then reuse them across categories, products, and items.
Condition grades for trade-in and resale
- Grade A: no visible wear; screen, frame, and housing are in excellent condition.
- Grade B: light cosmetic wear only, with no cracks, dents, or structural damage.
- Grade C: visible wear but still functional; it is no longer acceptable if the screen or back is cracked.
Indicative repair pricing
Example note with an operational pricing table used for iPhones, including indicative prices and typical turnaround times.
Operational checks before accepting an iPhone
- Battery health above 85% keeps full grade-based value; below that threshold triggers a discount.
- The device must power on and keep core functions working, including touch, calls, sound, and charging.
- Find My iPhone and iCloud lock must be disabled before finalizing trade-in.
Environmental impact and material recovery
- One iPhone represents roughly 60 to 80 kg CO2e in manufacturing.
- Manufacturing uses approximately 3,000 to 10,000 liters of water per device.
- Recycling can recover aluminum, copper, cobalt, gold, and silver.
From individual items to real customer histories.
Flux tracks serial-numbered items, assignment state, and concise AI summaries so operators can move from a raw record to a confident action faster.
See it live
From reactive support to lifecycle intelligence.
Use Flux to connect customer support, operational policy, and circularity strategy in one commercial platform. Start with the customer journey or inspect the public API behind the experience.
A simple path from first signal to next action.
A concise frontend walkthrough for presentations: recognize the case, identify the customer and product, and surface the most suitable path.
Start
Problem spotted
- The customer notices something is wrong with the device.
- Typical triggers include damage, battery decline, or charging issues.
Identity
Access account
- Returning users immediately see their wallet.
- New users can be onboarded without leaving the flow.
Product
Select the item
- Pick an existing item if it is already associated.
- Otherwise add it through search, assisted matching, or manual input.
Problem
Capture the situation
- The user gives a short explanation of what is happening.
- The interaction stays lightweight and easy to complete.
Decision
Review valid paths
- The interface filters down to feasible outcomes only.
- Results can be viewed through speed, cost, or impact.
Customer priorities
One case, different decision lenses.
- Fastest
- Cheapest
- Lowest CO2
Common real-world check
- Coverage is derived from purchase timing.
- Any warranty extension is evaluated in the same step.
Eligible outcomes
The shortlist stays focused.
- Repair
- DIY
- Internal MMS
- Service center
- Upgrade to new
- Upgrade to refurbished
- Trade-in
- Recycle
- Extended warranty
- Each option can be opened for extra detail.
- The user can still switch path before committing.
Detail before commitment
A second layer can validate the choice.
- Additional prompts can refine confidence.
- Lightweight simulations can run before moving forward.
Optical check
- Can be driven by guided questions or photos.
- Presented here as a simulated step.
Hardware check
- Can connect to an Apple-kit-based device check.
- Also represented here as a simulation.