Built for field sales teams planning routes

The CRM that knows your Tuesday loop runs through 11 accounts, not 11 states.

Field sales work is geography driven, visit cadence shaped, and mileage reimbursement sensitive. Strkr ships a CRM core shaped around territories, route optimization, visit cadence, and drop-in context with Strkr AI drafting the pre-call brief for every stop.

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What this audience is actually dealing with

The pains that bring buyers here.

A generic CRM assumes a rep lives on a laptop at a desk. A field sales rep lives in a vehicle driving 2,400 miles per month across a two-state territory. The pain points below are what Strkr onboarding hears on every intake call with a field-heavy sales team.

The planning tax

Monday morning eats 90 minutes of route planning.

A typical field rep spends 90 minutes every Monday morning planning the weekly routes. The planning covers which accounts to visit, which cadence they are on, and what the drive time looks like. Strkr auto-generates the weekly route from the territory map, the visit cadence rules, and the day-of availability. Monday planning drops to about 11 minutes.

The cadence drift

The 42 accounts on the quarterly cadence slip to annual.

A field rep nominally runs 42 accounts on a quarterly visit cadence. By month four the cadence has drifted to roughly annual because the fire drill of the week always wins. Strkr tracks the actual visit cadence per account against the target cadence and surfaces accounts falling behind in a dedicated triage view.

The pre-call context gap

The rep walks in cold on account 7 of 11.

A field rep making 11 drops on a Tuesday loop cannot carry 11 hot pre-call briefs in working memory. Strkr AI generates the pre-call brief for each stop with recent emails, last visit notes, open opportunities, and a suggested conversation topic. The rep reads a 90-second brief in the parking lot and walks in warm.

The post-visit lag

Visit notes get typed up Thursday night from memory.

A field rep making 36 visits per week ends the week with 36 unlogged visits in memory. The Thursday night note typing session loses 40 percent of the fidelity. Strkr ships voice-to-note capture optimized for the car: 90 seconds of talking produces a structured visit log with account, outcome, next step, and action items ready for review.

The mileage reporting pain

The expense report costs two hours every Friday.

The IRS 2026 standard mileage rate is $0.70 per mile. A field rep driving 2,400 miles per month is reimbursing $1,680. The weekly mileage report usually takes two hours of odometer reconstruction. Strkr tracks drive time between account stops from the daily route log and produces the weekly mileage report pre-filled for the rep to sign off.

The territory boundary disputes

Three reps argue over the Fort Collins account.

Territory boundaries drift as teams grow. The result is overlap disputes, missed accounts, and sales manager arbitration. Strkr ships territory objects with ZIP, county, and street-grid granularity. The admin can shift a territory boundary in minutes with historical lineage preserved. The ownership disputes stop because the audit log shows who owned which account on what date.

The field sales schema

Objects shaped like field work.

The default CRM schema does not map to field sales work. Strkr ships a tunable field-sales schema with Territory, Account, Visit Log, Route Day, Mileage Entry, and Call Cadence as first-class objects. The admin can rename or extend anything. The default lands close to where most field-heavy teams settle.

Territory object

ZIP, county, street grid, lineage.

A territory in Strkr is a named geographic area with ZIP, county, or street-grid granularity. The territory ties to a rep assignment with a start date and an end date. The lineage preserves the ownership history so a dispute over who owned the Fort Collins account last September resolves against the audit log, not the memory.

Account object with geo

Address, visit cadence, drive time.

The account object carries address with lat and long, visit cadence target (weekly, biweekly, monthly, quarterly, annually), drive time from the previous common stop, and parking notes. The geo data drives the daily route optimization and the cadence drift triage.

Visit log object

Date, outcome, next step, duration.

A visit log attaches to the account with visit date, duration in minutes, outcome, next step, and voice-captured note. The visit log drives the cadence tracking, the pre-call brief for the next visit, and the activity report for the sales manager.

Route day object

Date, stops, order, drive time.

A route day captures the planned stops for a date, the stop order, the drive time between stops, and the actual completed vs skipped stops at end of day. The route day feeds the mileage report and the territory coverage dashboard.

Mileage entry object

Start, end, miles, rate.

A mileage entry captures a drive segment with start location, end location, miles, and reimbursement rate. The entry pulls from the route day log automatically. The weekly mileage report assembles mileage entries into a signed expense report for the rep.

Call cadence object

Target frequency, last visit, drift flag.

The call cadence object attaches to the account with target frequency and the last visit date. The drift flag turns red when the account falls more than one cadence period behind target. The drift view surfaces accounts needing attention this week before the quarter closes with 11 missed targets.

How route optimization runs in Strkr

The daily route planner in detail.

The route optimization engine runs on a shortest-path calculation across the eligible stops for a day, weighted by cadence priority and account value. The rep adjusts the final order in the mobile app with a simple drag reorder. The planner does not try to be clever against the rep local knowledge, which is why reps actually use it.

Eligible stops

Who deserves a visit this week.

The planner starts with the eligible stops for the day: accounts in the day territory whose cadence target is due or overdue, accounts flagged for an open opportunity, and accounts manually pinned by the rep. The eligible set runs 15 to 40 stops typically.

Priority weighting

The cadence drift and deal value priority.

Each eligible stop gets a priority weight combining cadence drift (more drift equals higher priority), open deal value (higher value equals higher priority), and manual rep pin. The weighting is tunable in the admin console. The default settles the top 11 to 13 stops as the daily route.

Shortest path

The drive-time minimum across the 11 stops.

The planner computes the shortest-path order for the 11 selected stops using drive time from the territory geo graph. The rep sees a map view with the stop order drawn and the total drive time estimated. The default drive time estimate uses historical traffic averages so Tuesday 2 PM is realistic, not Google Maps best case.

Rep override

The drag reorder in the mobile app.

The rep adjusts the order in the mobile app with a simple drag reorder. Local knowledge wins over the algorithm every time. The rep might reorder because they know the first stop opens late or the last stop is on their way home or the middle stop requires a particular time of day. The system learns from reorders across the quarter.

In-flight updates

The 2 PM reshuffle when a stop cancels.

When a stop cancels mid-route, the planner re-optimizes the remaining stops with the current rep location as the start. The rep gets the updated order in two taps. The common case of a canceled 1 PM meeting opens an unexpected hour, and the planner suggests two nearby accounts due for a drop-in.

End-of-day log

The post-route hygiene in two minutes.

At end of day the rep marks each stop completed, skipped, or rescheduled. The route day object captures the final state. The mileage entries roll up automatically. The visit logs attach to the accounts. The rep hygiene cost is two minutes, which is why reps actually complete it.

How Strkr AI runs the pre-call brief

The 90-second brief in the parking lot.

The pre-call brief is the single most-used AI job in a field sales deployment. The rep taps the account card in the mobile app and sees the brief in under three seconds. The brief lands grounded in the actual account history because the retrieval scope reads the account notes, the recent emails, and the open opportunities.

Recent context

What happened on this account in 60 days.

The brief leads with the recent context: the last visit date and outcome, the last email exchange, the open deal status, and the open support tickets if any. The rep walks in knowing what the account knows about Strkr, not what Strkr knows about the account from six months ago.

Suggested topics

The three conversation openers.

Strkr AI drafts three suggested conversation openers from the recent context, the industry context, and the open opportunities. The rep picks one that fits the chemistry of the visit. The suggestions beat the default how-are-things opener that most field reps default to.

Open loops

The commitments from the last visit.

The brief surfaces the open commitments from the last visit, from the rep or from the account. If the rep promised to send a product datasheet, the brief flags whether that happened. If the account promised to loop in the ops lead, the brief asks the rep to confirm.

Decision maker map

Who is in the building that cares.

For multi-contact accounts the brief shows the decision maker map with roles, last contact dates, and engagement signals. The rep knows whether to spend 20 minutes with the primary buyer or 10 minutes each with three stakeholders. The map updates automatically as new contacts enter the system.

Local news flag

The acquisition rumor from Tuesday.

Strkr AI flags news events (acquisition, leadership change, product launch, funding round, bankruptcy filing) tied to the account from the past 30 days. The flag goes above the brief fold so the rep does not walk in oblivious to a Tuesday acquisition announcement.

Next-step suggestion

What a good outcome looks like.

The brief closes with the suggested next step for the visit, pulled from the deal stage, the opportunity amount, and the account cadence. The suggestion is a starting point, not a mandate. The rep adjusts in the visit log at the end of the stop.

Head-to-head

Strkr vs a generic CRM for field sales.

Most field sales teams try a generic CRM once and bounce because the schema does not include territory, visit cadence, or route planning. The comparison below is Strkr field posture versus a generic sales CRM applied to the same team.

Feature Strkr Generic sales CRM for a field team
Territory as first-class object ZIP, county, street grid with lineage. Custom field the admin builds.
Daily route optimization Built-in with shortest-path. None.
Visit cadence tracking Target frequency with drift flag. None.
Mileage reporting Pre-filled from route log. Separate expense tool.
Voice-to-note visit capture Mobile app voice capture. Keyboard note typing.
Pre-call brief AI prompt 90-second brief per stop. None.
In-flight route re-optimization Reshuffle on cancellation. None.
Territory dispute audit trail Record read and write with ownership lineage. Current ownership only.
How teams use Strkr

Five field sales playbooks.

The playbooks below are patterns Strkr onboarding sees across field-heavy sales deployments.

Pattern A

The 14-rep medical device territory team.

A 14-rep medical device team selling into hospital systems and surgery centers ran a legacy CRM with no territory model. The reps rebuilt their weekly routes in Google Maps every Monday. Strkr onboarding configured the territory object with hospital system geo and the cadence tracking against the account visit targets. Monday planning dropped from 90 minutes to 11 minutes and the quarterly visit cadence hit 94 percent on-target vs 61 percent before.

Pattern B

The 42-rep CPG distribution team.

A 42-rep CPG distribution team covering convenience stores and gas stations ran a tangled Google Sheet with store addresses and a Monday morning email thread of planned routes. Strkr onboarding configured the territory object with retail-chain geo, the mileage reporting, and the pre-call brief for each store. The reporting lift was about 90 minutes per rep per week and the mileage reports went from manual to pre-filled.

Pattern C

The 22-rep industrial distribution team.

A 22-rep industrial distribution team selling MRO supplies into manufacturing plants ran a legacy CRM with no route optimization. The reps were overlapping into each other territories and the sales manager was arbitrating weekly. Strkr onboarding configured the territory object with manufacturing-site geo and the territory boundary audit lineage. The disputes stopped and the sales manager reclaimed about 11 hours per week.

Pattern D

The 18-rep food service team.

An 18-rep food service distribution team covering restaurants and institutional kitchens needed route optimization that respected delivery truck schedules. The rep ride-along with delivery had to align with the delivery truck arrival. Strkr onboarding configured the territory object with restaurant geo and the delivery truck schedule integration through the standard webhook spec. The rep ride-alongs lifted from 32 percent coverage to 78 percent.

Pattern E

The 11-rep agricultural equipment team.

An 11-rep agricultural equipment team covering rural multi-state territories dealt with 300-mile daily drives between accounts. Route planning was existential. Strkr onboarding configured the territory object with farm-geo granularity and the drive time estimate using rural road traffic averages. The reps added two to three stops per day on average because the drive time between stops dropped by about 42 minutes.

Run field sales on a CRM shaped for routes.

Book a 30 minute call. We will walk through the territory model, the route optimization, and the mileage reporting with your actual rep count and territory shape.

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Common questions

What buyers in this bucket ask most.

Does Strkr work on a phone in the car?

Yes. Strkr ships a mobile app for iOS and Android with the route planner, the pre-call brief, the voice-to-note visit capture, and the mileage tracking. The mobile app is the primary surface for field reps. The desktop surface is the primary surface for managers running the territory review and the activity dashboard. Both surfaces read and write the same records, so a rep logging a visit in the car updates the sales manager dashboard in real time.

How does Strkr handle offline mode when I lose cell signal?

The mobile app caches the daily route, the account details, and the pre-call briefs when the rep starts the day. Voice-to-note capture, visit logging, and route completion work offline and sync when the rep returns to coverage. The common field scenario of a rural account with no cell signal does not break the workflow. The sync runs automatically within seconds of regaining coverage.

Can we configure territory boundaries at the ZIP or street-grid level?

Yes. Strkr territory object supports ZIP, county, and street-grid granularity. The admin draws a territory in the admin console or uploads a KML or GeoJSON file. The territory lineage preserves the ownership history so a dispute over who owned which account on what date resolves against the audit log. Territory boundary shifts are a two-minute admin console operation, not a project.

What does Strkr cost compared to Badger Maps, Map My Customers, or SalesRabbit?

Strkr runs flat per seat at $29 on Starter, $59 on Pro, and $119 on Scale per user per month, with a 14-day trial. The route planning and mileage tracking are included at every tier. Badger Maps runs about $69 per user per month. Map My Customers runs about $55 to $139 per user per month. SalesRabbit runs about $85 per user per month. Strkr sits in the mid range on seat price and adds the full CRM capability (pipeline, forecasting, custom objects, AI prompts) that the field-specific tools do not ship.

How does the mileage report integrate with our expense system?

The weekly mileage report exports to CSV, PDF, or JSON and ships through the standard webhook spec with HMAC signing to Concur, Expensify, SAP Concur, Zoho Expense, and others. The IRS 2026 standard mileage rate of $0.70 per mile is the default. The admin can set a custom rate for employee-owned vehicle policies or company-vehicle depreciation rates. The audit log captures every mileage entry edit for expense audit prep.

What happens to our existing route data and visit history on migration?

Strkr import brings in the account history, visit history, and territory assignments with original timestamps preserved. For teams coming from a Badger Maps or Map My Customers deployment the geo data imports cleanly. For teams coming from Google Sheets the import maps address columns to the account geo and seeds the cadence targets from the sheet column. The AI pre-call brief sees the full history on day one, which means the brief is grounded in actual relationship context from the first week.

Also built for

Related audiences.

Route Planning CRM Field Sales CRM Outside Sales CRM Territory Management CRM Mobile CRM CPG CRM Distribution CRM Sales Teams

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