What runs in production today
QR Inventory Voice AI: A Production Field Inventory Case Study
Voice questions and inventory transactions in a production mobile application.
BusinessForward added on-device voice input, structured inventory lookup, guided transactions, and AI-assisted onboarding to QR Inventory, a production mobile inventory application.
The app understands speech on the device. It can queue a structured request until service returns, check the request against business data, and return or submit the verified result.
Production mobile application
Voice AI built into a working inventory app.
The BusinessForward development team implemented voice-driven inventory workflows and structured operational transactions in QR Inventory, a production mobile application for field operations.
QR Inventory runs on iOS and Android phones and tablets. Its language model and supporting voice software run on the device. Audio never leaves the device. If service is unavailable, the app queues the structured request until service returns.
- Production mobile app
- iOS and Android
- Voice AI on the device
- Audio stays on the device
- Requests can wait until service returns
Inventory lookup
Ask a business question in plain language.
An employee can say, “show all generators with voltage 120.” QR Inventory interprets the request and finds the matching generator records. The employee then sees the records and their voltage values.
Production workflow video
QR Inventory Voice: Hands-Free Mobile App For Fast Stock Checks & Asset Lookup
See how QR Inventory turns a spoken inventory question into a structured request, checks business data, and returns matching records.
Published by AHG, Inc.
Request path
The audio stays local. A structured request moves forward.
- Spoken requestThe employee asks for business information.
- On-device understandingThe device interprets the audio without sending it away.
- Structured requestThe app creates the same type of request used by its normal fields.
- Cloud formatting and checksThe service prepares and checks the database request.
- Verified database queryThe checked request runs against approved business data.
- Result returned to the appThe employee receives the matching answer.
Read the technical request details
The device turns speech into the same structured request that normal app fields create. The structured request, not audio, reaches the cloud.
The cloud service formats the request as SQL, checks it, and runs it against approved data. SQL is the database request language. If service drops, the app holds the structured request and sends it when service returns.
Voice-guided transfer
Move one generator from B27 to Boise Warehouse.
Customers choose which transaction types may run without manual review. QR Inventory repeats and checks the details before completing those transactions.
- Choose the routeSet B27 as the source and Boise Warehouse as the destination.
- Scan the generatorUse its QR code to match the correct record.
- Review and confirmCheck the item, locations, and transaction details.
- Submit the transferRecord the result and choose any needed documents.
See the full transfer sequence
- Start by voice. Ask the app to begin a transfer.
- Review the item. Check the matched generator in the transaction.
- Add a photo if needed. Attach optional supporting evidence before confirmation.
AI-assisted onboarding
Employees can learn in two ways at the same time.
One path offers guided setup with forward and back steps through setup and transactions. The other lets an employee ask a natural-language question and get immediate help with the current task.
What users reported
Two groups rated how easy the system was to start using.
More than 100 people answered the same voluntary anonymous survey during one three-month period. The standard onboarding and app group averaged 7.3 out of 10. A different group with AI-assisted onboarding and voice access averaged 9.4 out of 10.
Question asked
How easy was it to understand and start using the system, on a scale from 0 (total disaster) to 10 (extremely easy)?
Methodology note
Read the scores with their limits.
- The results combine more than 100 respondents across one three-month period.
- The respondents belonged to two different groups.
- Group one used standard human-led onboarding and the standard app.
- Group two began with human-led onboarding, then received access to AI-assisted onboarding and the voice-enabled app.
- The comparison reports perceived ease and does not prove that one feature caused the difference.
Proof boundary
What this case study proves
BusinessForward implemented these capabilities in QR Inventory:
- On-device speech processing
- Audio kept on the device
- Structured inventory questions
- Record matching and database lookup
- Explanation of results
- Guided inventory transactions
- Review and confirmation of repeated details
- Offline request queuing
- AI-assisted onboarding
BusinessForward designs related workflows for other software when access, permissions, data, and customer rules make the connection practical.