Thousands of doorstep repairs a day. Every one inside its SLA.
F1 Agent takes a complaint from the customer's call or website form to the right technician with the right spare in hand, records what was actually replaced, and measures every job against its SLA. Built for brands, authorized service partners and retailers running high volume consumer service in Salesforce.
Built natively on Salesforce · by Cloud Ingenious, a Salesforce Summit Partner
Service board · Bengaluru North
Today · 1:40 PM
Open jobs
312
Within SLA
91%
At risk
17
Split AC not cooling · Yelahanka
Kiran R. · gas top up kit in van
31h left
Refrigerator noise · Hebbal
Auto dispatched · 3:00 PM
22h left
Smart TV no display · RT Nagar
Part requested · PCB from service centre
8h left
Microwave not heating · Jakkur
Awaiting dispatcher · premium customer
4h left
Auto dispatched
Front load washer, drum noise → Kiran R. · Washing machine L2 · 3:00 PM slot · bearing kit in van
In short
F1 Agent for appliances and electronics is a Salesforce native field service platform for brands, service partners and retailers that repair consumer appliances and electronics at customers' homes and businesses.
Service requests become Cases matched to the customer and their registered product. Work Types set the skill, time and expected spare parts, and AI dispatch recommends or auto assigns a technician by skill, territory, time slot and priority.
Technicians see expected parts before travelling, record actual consumption at check out, and update the product's service history. Managers track SLA performance and technician productivity. F1 Agent is built by Cloud Ingenious, a Salesforce Summit Partner.
The field reality of consumer service
A refrigerator that stops on Friday is a family's whole weekend.
Consumer service runs on volume and patience. Hundreds of complaints arrive every day, each customer waits at home for a slot, and a single "technician came without the part" turns into a one star review. The math is unforgiving: small inefficiencies multiplied by thousands of jobs.
Where the SLA clock leaks
−4 h
Wrong product logged
Customer says "fridge", system has three. The wrong model’s history and parts get pulled.
−6 h
Assignment by phone
Dispatcher calls technicians one by one to find someone free in that pin code.
−3 h
Skill mismatch
A general technician is sent to an inverter PCB fault and has to escalate.
−24 h
Spare not in the bag
Diagnosis on site, part ordered, second visit booked for tomorrow.
−2 h
Closure by phone
Job closed on a call, parts used never recorded, SLA timestamp approximate.
Illustrative hours lost against a 48 hour resolution SLA.
1 in 5
consumer service visits in a typical manual operation end without a fix, usually because the spare was not in the technician's bag.
The parts nobody can account for
Compressors, PCBs, motors and panels move between warehouses, service centres and technicians' bags. Without planned versus actual consumption, warranty claims to the brand and out of warranty billing to the customer both leak.
What high volume service teams get wrong
More technicians will not fix an SLA problem that starts at the call centre.
When SLA slips, the instinct is to add technicians. But most lost hours happen before anyone travels: the wrong product logged, a vague fault description, a technician picked because he answered the phone, a spare that was never checked. Fix the upstream steps and the same team closes more jobs, because fewer of them need a second visit.
01
Identify the exact product first
Match the customer by phone or email, then pick the specific registered appliance. History and parts follow from the right asset.
Ask your vendor: Does a case link to a specific asset, or only to a customer?
02
Standardize the job, not just the ticket
A Work Type per complaint type defines skill, expected duration and spares, so every coordinator plans the same way.
Ask your vendor: Can selecting a job type fill skills, duration and parts automatically?
03
Match skill and slot together
The right skill in the wrong slot still breaches SLA. Dispatch must weigh both, plus territory and priority.
Ask your vendor: Does dispatch consider availability and territory, or only skill?
04
Record what really happened
Planned versus actual parts, with reasons, is what keeps inventory, warranty claims and billing honest.
Ask your vendor: Can technicians add unplanned parts and explain unused ones?
Where are your SLA hours going?
Share a week of closed jobs. We will show where time is lost between complaint and fix, and how many repeat visits came from missing spares.
A split AC that is not cooling, from first call to closed job.
Customer
Home, Whitefield
Mon 9:10 AM
Raises request
Website form: AC not cooling. Enters into Salesforce as a Case.
Mon 9:40 AM
Gets a slot
Appointment confirmed for Tuesday morning.
Tue 10:05 AM
Technician arrives
With refrigerant kit and capacitor in his bag.
Tue 11:20 AM
AC cooling again
Invoice for out of warranty gas top up shared.
Service desk
Salesforce
Mon 9:15 AM
Finds customer and AC
Matched by phone. Two ACs registered, bedroom unit selected.
Mon 9:20 AM
Checks history
Installed 2023, serviced Apr 2026, no prior gas issue.
Mon 9:25 AM
Work Order created
Work Type: cooling issue. Skill AC L2, 1.5 h, gas kit and capacitor.
Mon 9:30 AM
AI dispatches
Auto assigned to Suresh K. by skill, territory and slot.
Technician
F1 Agent app
Mon 6:00 PM
Reviews job
Sees expected parts, capacitor missing in bag.
Mon 6:10 PM
Product Request
Service centre transfers capacitor for morning pickup.
Tue 10:05 AM
Checks in
Case moves to In Progress.
Tue 11:15 AM
Checks out
Gas kit and capacitor consumed. Case resolved.
Total time from complaint to resolution: 26 hours against a 48 hour SLA. One visit. The asset now shows the gas top up and the capacitor replacement for the next technician.
AI dispatch and auto dispatch
At consumer volumes, a human cannot hand pick every technician. They should not have to.
AI looks at the Work Type's required skill, which technicians have it, which service territory the customer's pin code falls in, who has an empty slot and how urgent the job is. For routine jobs, turn on auto dispatch and let AI assign. For escalations and premium customers, keep AI recommends, dispatcher decides.
Service territories carry their own operating hours, so a city centre running Monday to Sunday and a district service centre running Monday to Saturday are scheduled correctly.
Outcome: dispatchers handle exceptions, not every job.
Mar 2026: door gasket replaced. No cooling issues recorded.
Expected parts and service inventory
The technician knows what to carry before he rings the bell.
Because the Work Type lists expected parts, the technician's app checks them against his van or bag stock. A missing part triggers a Product Request to the nearest linked warehouse or service centre, and a Product Transfer gets it to him before the slot.
Inventory can be counted in pieces, sets or cartons, and every movement between service centre, technician and customer location is a Product Transaction with a trail.
Outcome: fewer "part pending" jobs and fewer second visits.
At check out the technician confirms the parts actually used. Planned parts not used need a reason, extra parts can be added, and Products Consumed update stock and the product's service history. For out of warranty jobs, an invoice is raised from what was consumed and shared with the customer.
Managers then see each technician's assigned and resolved jobs, resolution times and SLA compliance by Work Type and territory.
Built for the way consumer service actually peaks.
Summer peak
AC complaints triple in April
Situation
Cooling complaints spike for eight weeks, and dispatchers cannot assign jobs fast enough. SLA breaches pile up by the second week.
With F1 Agent
Routine AC Work Types move to AI auto dispatch by skill, territory and slot. Dispatchers handle only escalations, and expected parts per Work Type keep gas kits and capacitors stocked in technicians’ bags.
Outcome
Peak volume is absorbed without hiring a second dispatch team, and SLA holds through the season.
Repeat visits
Too many jobs end with "part pending"
Situation
A brand’s service partner closes only four of five jobs on the first visit. The fifth needs a spare from the service centre and a second trip.
With F1 Agent
Technicians review expected parts the evening before, raise Product Requests for missing items, and receive transfers before the slot. Check out records actual consumption with reasons.
Outcome
Fewer second visits, and data showing which Work Types still miss spares.
Warranty and billing
Spares consumed but not claimed or billed
Situation
Parts replaced under warranty are not consistently claimed back, and out of warranty parts are sometimes not billed at all.
With F1 Agent
Products Consumed link each part to the job, technician and appliance. Out of warranty jobs flow into an invoice shared with the customer from Salesforce.
Outcome
Every replaced part is accounted for, against the right product and the right customer.
Who runs consumer service on F1 Agent
Different business models, the same doorstep promise.
Appliance and electronics brands
Run national service networks across owned centres and partners. Territory based dispatch, SLA tracking by Work Type and product level service history in Salesforce give one view across the country.
Authorized service partners
Serve several brands with one technician pool. Skills per brand and category, van or bag stock per technician, and productivity dashboards help the partner meet each brand’s SLA.
Retailers with installation and repair services
Install and repair what they sell. Cases from the website or store, installation Work Types with line items, and invoices raised from consumed parts.
HVAC and water purifier service companies
Mix breakdown calls with periodic servicing. Maintenance Plans generate filter changes and AC servicing visits automatically, alongside reactive jobs.
Commercial kitchen and laundry equipment
Downtime hurts a business, not just a household. Priority aware dispatch and asset history help send the right skill first time. See also F1 Agent for equipment and machinery.
What consumer service teams measure on F1 Agent.
+18 ptsSLA compliance on resolution time
32%fewer repeat visits for missing spares
70%of routine jobs auto dispatched by AI
+1.4more jobs closed per technician per day
Illustrative figures from F1 Agent deployments. Results depend on job mix, service area density and rollout scope.
Why F1 Agent
Your options for consumer service, compared honestly.
Need
Call centre sheet and WhatsApp
Standalone service app
Custom build in Salesforce
F1 Agent
Assigning hundreds of jobs a day
Manual, by phone
Rules based
Significant build
AI recommend or auto dispatch per Work Type
Customer and product history
Searched by phone number
Separate from CRM and marketing
Yes
Case, account and asset history in one Salesforce org
Spares readiness and consumption
Untracked
Varies by vendor
Build per process
Expected vs actual, with reasons and transfers
SLA reporting
Compiled weekly
Yes
Build dashboards
SLA compliance and technician productivity
Honest limitation
Breaks at volume
Good if you are not on Salesforce
Suits very unusual flows
Requires a Salesforce org; partner technicians need user access
Start with one city
Prove it on one product line in one service area.
01
Pilot a city and a category. For example, washing machines in one metro, measured on SLA and repeat visits.
02
Configure your Work Types. Your top complaint types, skills and expected spares first.
03
Keep your Salesforce org. Customers, registered products and cases stay where they are.
04
Raise automation gradually. Start with AI recommendations, switch on auto dispatch per Work Type when the data supports it.
"Our dispatchers used to spend the morning on the phone assigning jobs. Now AI assigns the routine ones before 9 AM, and the team spends its time on the customers who are about to breach."
[Client name]Head of Customer Service, [Consumer electronics company]
What is F1 Agent for appliances and electronics service?
F1 Agent is a Salesforce native field service platform for brands, service partners and retailers that repair appliances and electronics on site. It covers case intake, customer and product identification, service history, Work Orders with Work Types, AI dispatch and auto dispatch, service inventory, a technician app with check in and check out, products consumed, invoicing, SLA compliance and technician productivity.
Can AI assign technicians automatically?
Yes. AI dispatch can recommend a technician for the dispatcher to confirm, or auto dispatch according to your configured logic. It considers required skill, technician skills, service territory, availability, open time slots and job priority. You can choose the level of automation for your operation.
How does the technician know which spare parts to carry?
Each Work Type can define the products normally required. The technician sees these expected parts on the Work Order before travelling, and F1 Agent can compare them against van or bag stock. Missing items can be requested from a linked warehouse or service centre.
How is SLA measured?
Service requests can carry defined SLAs, for example resolution within a set number of hours. F1 Agent measures execution against those commitments, so managers can see compliance by technician, territory and job type.
Can we see the service history of a specific appliance?
Yes. Each customer’s products can be maintained as assets with their service history: previous issues, work performed and parts used. Agents see it before creating a new Work Order, and technicians see it in the app.
What if a technician uses a part that was not planned?
At check out the technician confirms actual usage, adds any additional parts used, and gives a reason for planned parts that were not used. Products Consumed then update inventory and the asset history.
Can customers raise requests from our website?
Yes. A website request can enter Salesforce as a Case, and the customer is identified by phone number and email to start the service workflow.
Does F1 Agent handle periodic servicing as well as repairs?
Yes. Maintenance Plans generate recurring Work Orders and Service Appointments, for example AC servicing or filter replacement, alongside reactive breakdown jobs.
Can service partner technicians use F1 Agent?
Yes, if they are set up as users in your Salesforce org. Skills, service territories and inventory locations can be configured per technician or partner.
How do we start and what does it cost?
Most teams pilot one city and one product category, configure their top Work Types and run AI recommendations before enabling auto dispatch. Pricing is per user per month at [₹ per user / month], depending on modules.
Send a week of service jobs from one city. We will show where time is lost between complaint and fix, and run your top Work Types through AI dispatch on F1 Agent in Salesforce.
