A logistics deal is a lane commitment, not a close date. The CRM has to know the difference.
Logistics providers (3PL brokers, asset-based carriers, warehousing operators, freight forwarders) run a sales motion that mainstream CRMs flatten. Shippers commit to specific lanes at specific rates for specific terms. Carriers come and go against those commitments. The deal shape is lane plus mode plus volume plus rate, and the CRM has to carry that structure natively or the broker ends up rebuilding it in a spreadsheet.
Logistics sales teams land on CRM software and discover that the data model is built for a B2B SaaS or professional services motion. The lane dimension is missing. The mode is a free-text field. The volume commitments do not roll up. The carrier contacts live separately from the shipper contacts. Six specific pains come up on every logistics operator conversation.
Lanes are not opportunities
A shipper commits to Chicago to Dallas, not to a single deal.
A shipper negotiating a RFP commits to specific lanes: Chicago to Dallas dry van, Memphis to Atlanta reefer, Los Angeles to Phoenix flatbed. Each lane carries volume (loads per month), rate (per-mile or flat), term (3 months, 6 months, annual), and award status (primary, backup, tertiary). Most CRMs flatten this to a single deal record with free-text lane descriptions. Strkr lane-level opportunity tracking carries each lane as a structured sub-record under the shipper account.
Mode and equipment matter
Dry van, reefer, flatbed, intermodal, LTL are different deals.
A shipper might award a 3PL dry van business and keep flatbed in-house. The CRM needs to track mode and equipment type as structured fields that filter the pipeline. The team qualified on reefer should not get credit for a dry van win. Strkr mode and equipment taxonomy ships as a configurable picklist with roll-ups by mode in the forecast reports.
Carrier rolodex sits outside
The dispatcher runs a separate contact list.
Brokers maintain two contact networks: shippers (customers) and carriers (vendors). Most CRMs treat the two as the same contact table, which creates confusion. Carriers calling in about load tenders should not surface in a shipper-pipeline review. Strkr contact-type separation keeps shippers and carriers as distinct entity types with the right relationships (shipper books loads, carrier runs loads, broker matches both).
Rate confirmations are documents, not states
The signed rate con is the deal commitment.
The rate confirmation is the signed document locking the shipper rate per lane. The CRM needs to store the rate con, link it to the lane opportunity, and track amendment history (rate changes mid-term). Most CRMs store the file in an attachments blob with no structured relationship. Strkr rate confirmation handling attaches the signed document to the lane opportunity with version history.
Capacity planning disconnected
Awarded volume versus available capacity.
A broker awarded 250 loads per month on a lane needs to know whether the carrier network can actually run them. Asset-based carriers need to know whether their fleet can cover the committed capacity. Most logistics CRMs do not surface the capacity-vs-commitment math. Strkr lane commitments roll up to capacity dashboards showing awarded loads against claimed carrier capacity so the dispatch team sees overallocation risk early.
Season swings break the pipeline
Q4 produce or Q3 retail changes everything.
Logistics has seasonal patterns that most CRM forecast methods do not accommodate. Produce season spikes refrigerated volume, retail peak spikes dry van, construction season spikes flatbed. A linear forecast method misreads these cycles. Strkr seasonal forecast overlays apply historical seasonality curves per mode so the forecast reflects the expected swing rather than averaging it away.
The logistics data model
How Strkr models the operation.
Strkr's logistics configuration ships with the specific objects and relationships that match how a 3PL or carrier operates. The cards below describe the shape.
Shipper account
The customer entity with lane history.
The shipper (customer) account carries lane history, total committed volume across lanes, current rate structure, award status per lane, and expansion opportunities. The account view shows the shipper's active lane commitments plus the pipeline of new lanes under negotiation.
Lane opportunity
The structured record for each lane negotiation.
Each lane negotiation is a lane opportunity record: origin (city + state + zip prefix), destination (city + state + zip prefix), mode (dry van, reefer, flatbed, intermodal, LTL, parcel), equipment specification, projected monthly volume, target rate (per-mile or flat), term start, term length, award status. The record carries through the negotiation and into the operating phase.
Rate confirmation
The signed document per lane.
The rate confirmation is a structured document record linked to the lane opportunity. The signed version attaches via DocuSign or PandaDoc integration. Amendment history (mid-term rate changes, volume adjustments, term extensions) tracks as a structured amendment list on the parent rate confirmation.
Carrier contact
Carriers as a distinct entity type.
Carriers are a distinct entity type from shippers. The carrier record carries MC number, DOT number, equipment inventory, insurance expiration, safety score, lane preferences, and current capacity commitments. The dispatcher works a carrier rolodex that does not pollute the shipper pipeline view.
Load tender
The operational record for each shipment.
Each individual shipment is a load tender: pickup date, delivery date, carrier assigned, actual rate paid, actual rate charged, margin, status (planned, dispatched, in transit, delivered, paid). The load tender rolls up to the lane opportunity for commitment tracking and to the shipper account for lifetime value.
Capacity dashboard
Committed volume versus claimed carrier capacity.
The capacity dashboard shows awarded lane volume against the claimed capacity of the carrier network for each mode and lane. Overallocation flags surface before the dispatch team is scrambling to find a truck on a Monday morning. The dashboard runs on real-time load tender data plus carrier capacity claims.
Margin per lane
Gross margin reporting by lane and shipper.
The margin report shows gross margin per lane, per shipper, per mode across the operating period. The sales lead sees which lanes are profitable, which are breakeven, which are losing money. The report feeds the next contract renegotiation. Strkr's reporting runs this natively against the load tender data.
Carrier scorecard
Performance per carrier across loads.
Each carrier carries a scorecard: on-time pickup rate, on-time delivery rate, claims rate, communication responsiveness, invoice accuracy. The scorecard updates on every load tender close-out. Dispatchers select carriers for new tenders by the scorecard. Low performers rotate out of the preferred rotation.
RFP response package
The structured bid document for shipper RFPs.
Shipper RFPs come with lane lists requiring per-lane rate bids. Strkr RFP response package pulls the shipper account history, the proposed rate per lane, the capacity claim per lane, and generates a structured bid document the salesperson edits for 30 minutes rather than rebuilds from scratch for 8 hours.
The logistics sales motion
What the pipeline actually looks like.
The logistics sales motion runs on a different cadence than B2B SaaS. The cycle is often lane by lane, the renegotiation is annual, and the trust loop runs on operational performance between negotiations. Here is the shape.
Lead to RFP
The first conversation is often a lane trial.
A new shipper relationship rarely starts with a big RFP. The salesperson earns 1 to 3 lanes as a trial, runs them clean for 3 to 6 months, and uses the operational history as proof when the shipper runs the next full RFP. Strkr pipeline shape handles the trial-lane phase separately from the full-RFP phase.
RFP response
The bid math and the sign-off chain.
A shipper RFP arrives with a lane list, volume estimates per lane, and specific terms. The salesperson pulls historical rate data per lane, builds the bid math (what rate wins versus what rate maintains margin), runs the sign-off chain through the pricing lead and the operations VP, and submits the bid package. Strkr RFP workflow runs the structured sign-off.
Award and ramp
From RFP win to running lanes.
Winning a RFP produces a lane award. The operations team ramps the awarded lanes: carrier assignments, rate confirmations issued, systems setup for the shipper's TMS integration. Strkr tracks the ramp phase with specific milestones (carrier contracted, rate con signed, first load run, operational cadence established) rolling up to the award record.
Operate
The daily rhythm of load tenders.
The operating phase runs load tenders through the awarded lanes. The daily cycle: shipper tenders a load, the dispatcher assigns a carrier, the load dispatches, moves, delivers, invoices. Each load produces a margin number that rolls up to the lane. Strkr load tender tracking carries the operational history that feeds the next renegotiation.
Mid-term adjustments
Rate changes and volume shifts.
Mid-term the rate or volume may change: fuel surcharge adjustment, lane volume growth, carrier network shift. Mid-term adjustments attach as structured amendments to the parent rate confirmation. The next renegotiation reads the full amendment history, not just the original rate con.
Renegotiation
Annual or mid-year contract refresh.
Most shipper contracts renew annually. The renegotiation runs on the full operational history: on-time rate, claims rate, communication, margin, volume delivered. A shipper with a strong operational history is a strong renewal; a shipper with issues goes to the sales lead for intervention. Strkr renewal reports surface the operational scorecard automatically.
Integration with the operations stack
How Strkr talks to TMS and accounting.
Logistics providers run a TMS (transportation management system) for load operations and an accounting system for AR/AP. Strkr sits above those for the sales and account management surface, with native integrations to the common TMS and accounting tools.
TMS integration
McLeod, TMW, MercuryGate, Alvys, Rose Rocket.
Strkr integrates with the common TMS platforms: McLeod, TMW Suite (Trimble), MercuryGate, Alvys, Rose Rocket. The integration pulls load tender data (dispatch, in-transit, delivered, invoiced) into Strkr for pipeline and account reporting. Rate confirmations push from Strkr to the TMS for operational execution. The connector ships as native code with KMS-encrypted credentials.
Accounting integration
QuickBooks, NetSuite, Sage.
The accounting system holds invoice issuance, AR, carrier payment, AP. Strkr integrates with QuickBooks (Online and Enterprise), NetSuite, and Sage for the sync. Invoiced loads flow from the TMS or Strkr to the accounting system. Payment events flow back to Strkr for account health reporting.
EDI with shipper
For large shippers running EDI load tenders.
Enterprise shippers (retailers, consumer brands, auto) often run EDI load tenders. Strkr tracks the tender flow and ties the EDI tender to the lane commitment for exception handling. The actual EDI handshake runs through the TMS; Strkr surfaces the operational and sales implications.
Carrier onboarding
Insurance, authority, safety verification.
New carriers go through onboarding: MC authority verification, insurance verification, safety score review, agreement signing. Strkr carrier onboarding Flow runs the verification steps with automated reminders on insurance expiration. The onboarding gate prevents loads dispatching to carriers with expired insurance.
Fuel surcharge table
Weekly updates feeding rate math.
The DOE weekly diesel price updates feed the fuel surcharge table. Strkr pulls the DOE weekly update, applies the fuel surcharge math per rate confirmation, and surfaces the fuel-adjusted rate on the lane view. Dispatch teams work from the current fuel-adjusted rate rather than the base rate.
ELD and tracking integrations
Load status from the carrier ELD or tracking.
Load status updates from the carrier's ELD or tracking service feed back to Strkr for the shipper-facing status view. Shippers see where their load is without pinging the dispatcher. The integration runs with the common ELD vendors (Samsara, Motive, Omnitracs, Platform Science) via native API.
Rate benchmarking
DAT and Truckstop rate data as reference.
DAT and Truckstop load board rate data integrate as reference for pricing decisions. The sales lead sees the market rate for a specific lane alongside the shipper's offered rate and the carrier network's claimed cost. Rate benchmarking turns a negotiation into a data conversation rather than a gut-feel exchange.
Claims management
Freight claims tracked structured.
Freight claims (damaged load, lost load, OSD, misc) attach to the load tender record with status, dollar amount, resolution. The claims rate per carrier feeds the carrier scorecard; the claims rate per shipper feeds the account health view. Compliance teams running claims audits read the structured records rather than digging through email threads.
Audit trail
Every rate and award change captured.
Every rate change, award change, carrier switch, and amendment is captured in the audit log with user, timestamp, before-state, after-state. The compliance officer running a SOC 2 or SOX adjacent review reads the audit log directly. The shipper audit review requesting rate change history on a lane gets a one-click answer rather than a thread rebuild.
Head-to-head
Strkr vs generic CRM shoehorned for logistics.
Logistics teams on generic CRMs (Pipedrive, HubSpot, Zoho) rebuild the lane model as custom fields and manage the shipper-carrier split through naming conventions. Strkr's logistics configuration ships the shape natively. Here is the comparison.
Feature
Strkr
Pipedrive with custom fields for logistics
Lane as structured record
Native lane opportunity with origin, destination, mode, rate
Free-text fields on a generic deal
Mode and equipment taxonomy
Configurable picklist with reports filtered by mode
Custom field, no reporting rollup
Shipper vs carrier contact separation
Distinct entity types with different relationships
Same contact table, naming convention required
Rate confirmation handling
Document linked to lane with amendment history
Attachment blob, no structured amendments
Capacity vs commitment math
Shipped dashboard rolling awarded loads against carrier capacity
Not available
Load tender tracking
Native with margin per load and lane rollup
TMS only, no sales-side view
Carrier scorecard
On-time, claims, invoice accuracy per carrier
Manual spreadsheet
Seasonal forecast overlay
Historical seasonality curves per mode applied automatically
Linear forecast underreads seasonality
TMS integration
Native McLeod, TMW, MercuryGate, Alvys, Rose Rocket
Zapier or custom build
Fully loaded monthly cost
Roughly $70-90 per seat with logistics module
$30-60 per seat Pipedrive + spreadsheets + Zapier
How teams use Strkr
How logistics teams run Strkr.
Logistics operators that bring their pipeline into Strkr collapse the lane-tracking spreadsheet, surface capacity risk early, and sharpen the renegotiation. The playbooks below are specific motions we have seen in the last two quarters.
3PL broker, 65-rep team
Lane commitment tracking replaced a 400-tab spreadsheet.
A 65-rep 3PL brokerage had a Google Sheet with 400 tabs tracking lane commitments across 180 shippers. Jamal, the VP of ops, moved the lane model into Strkr with structured lane opportunity records. The spreadsheet retired after 90 days of parallel run. The ops team gained roughly 32 hours a month of time previously spent on spreadsheet maintenance, which they reinvested in carrier onboarding to grow the active network by 22 percent.
Asset-based carrier, 40-truck fleet
Capacity dashboard caught overallocation before it hit dispatch.
A 40-truck asset-based carrier was overallocating lanes across sales reps because no one had the aggregated view. The dispatch team scrambled on Mondays to find trucks for committed loads. Charles, the ops director, moved to Strkr with the capacity dashboard. Overallocation surfaced before new RFPs were signed. The dispatch team's Monday scramble dropped by roughly 80 percent, which freed two dispatchers for proactive carrier relationship work.
Freight forwarder, international ocean plus air
Rate confirmation history survived auditor review.
A freight forwarder running ocean plus air had chronic auditor pain reconstructing rate history across the year because rate confirmations lived in Dropbox folders. Nicole, the compliance lead, moved rate con management into Strkr with structured amendments on each parent record. The next annual audit cycle produced zero rate confirmation findings. The auditor specifically called out the audit trail as exceeding industry norms.
Reefer-focused carrier, produce season
Seasonal forecast overlay nailed Q3 produce.
A reefer-focused carrier serving produce had chronic forecast under-reads for Q3 because the linear forecast method averaged produce season into the annual trend. Pierce, the sales lead, enabled Strkr's seasonal forecast overlay with historical reefer curves. The Q3 forecast came in within 4 percent of actual, versus the prior pattern of 25 to 35 percent under-read. The capacity planning that depended on the forecast became meaningful.
Last-mile delivery, 85 small accounts
Margin per lane report changed three contract renewals.
A last-mile delivery operator serving 85 small retail accounts could not see margin per account cleanly. Lena, the sales lead, ran the Strkr margin per lane report quarterly. Three accounts emerged as chronically unprofitable due to accessorial charges not making it to the invoice. The next contract renewal cycle addressed the accessorial billing gaps and converted the three accounts from net-losing to acceptable margin.
Run the logistics pipeline on a CRM that knows what a lane is.
Start a 14-day Strkr trial with the logistics configuration enabled. Lane opportunities, rate confirmations, carrier scorecards, capacity dashboards, TMS integration, seasonal forecasts. See what one tenant looks like compared to the spreadsheet-plus-CRM workaround.
How is Strkr different from a logistics-specific CRM like Tai, Revenova, or Loadsmart?
Tai Software, Revenova, and Loadsmart are logistics-native CRMs with specific feature depth around the broker-shipper-carrier workflow. Strkr is a general-purpose CRM with a logistics configuration pack that ships the lane model, carrier taxonomy, rate confirmation handling, and TMS integration natively. The practical difference: logistics-native CRMs are purpose-built for the single motion with the full feature set but limited flexibility for teams that also sell adjacent services. Strkr handles the core logistics shape well and extends cleanly to adjacent revenue (warehousing, value-added services, international forwarding) under one tenant. Teams running pure brokerage with no plans to expand often pick a logistics-native tool; teams with a diversified or growing scope often pick Strkr.
What TMS integrations ship with Strkr?
Native integrations ship for McLeod, TMW Suite (Trimble), MercuryGate, Alvys, and Rose Rocket. The integration pulls load tender data (dispatch, in-transit, delivered, invoiced status) from the TMS into Strkr for pipeline and account reporting. Rate confirmations push from Strkr to the TMS for operational execution. The connector ships as first-class native code with KMS-encrypted credential storage and event-replay debugging. We never suggest Zapier because every integration ships as native. Teams running custom or less-common TMS platforms integrate via REST API and GraphQL with webhook support; a typical custom TMS integration takes 5 to 15 hours of integration work versus a specialized TMS vendor build.
How does Strkr handle fuel surcharges?
Strkr pulls the DOE weekly diesel price update and applies the fuel surcharge math per rate confirmation. Each lane carries a base rate and a fuel surcharge formula (often cents per mile over a fuel price threshold). The current fuel-adjusted rate surfaces on the lane view and feeds the dispatch and invoicing flows. Mid-term fuel surcharge adjustments attach as structured amendments to the rate confirmation. The shipper audit review requesting fuel surcharge calculation history on a lane gets a one-click structured answer. Teams running non-standard fuel surcharge logic (customer-specific indexes, flat surcharge, no surcharge) configure the per-lane logic in the rate confirmation setup.
How does the carrier scorecard actually work?
Every load tender closes with structured data: on-time pickup (yes/no), on-time delivery (yes/no), claims filed (if any, with dollar amount), communication responsiveness (dispatcher rating), invoice accuracy (yes/no with discrepancy flag). The scorecard aggregates these per carrier across the operating period with a weighted score. Low performers rotate out of the preferred carrier rotation; high performers rise in dispatch priority. The scorecard also surfaces per-mode and per-lane performance, which matters because a carrier strong on dry van might be weak on reefer. Teams running the carrier scorecard consistently typically see on-time rate improvements of 4 to 9 percentage points over two to four quarters because the carrier network self-selects toward quality.
Does Strkr handle intermodal and multi-mode lanes?
Yes. The mode field on the lane opportunity is a configurable picklist supporting dry van, reefer, flatbed, intermodal (rail-truck), LTL, parcel, air freight, ocean, and custom modes a tenant can add. Lanes that run multi-mode (truck to the port, ocean across, truck from the destination port) can be modeled as a parent lane with mode-specific sub-lanes carrying the per-segment rates and transit times. The reporting rollups respect the mode taxonomy, which lets the sales lead see pipeline per mode and the operations lead see capacity per mode. Teams running international freight forwarding with multi-leg lanes model the full journey in Strkr with the leg-level structure.
How does the RFP response package save time?
A shipper RFP typically arrives with a lane list (20 to 500 lanes), volume estimates per lane, specific equipment requirements, and submission templates. The RFP response package in Strkr pulls the shipper's historical rate data, the current market benchmarks (DAT or Truckstop), the carrier network capacity claim per lane, and generates a structured bid document. The salesperson edits the per-lane rates (which the system has pre-populated with target rates based on margin thresholds) and submits. The workflow that used to burn 8 to 20 hours on a 200-lane RFP response runs in 60 to 90 minutes. Teams running 15 to 30 RFP responses per quarter get the biggest leverage from this feature; teams running 2 to 4 per quarter see benefits but the time savings are less transformational.
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