Foodservice distribution runs on DSR territory routes, chef sampling, menu-cycle promotion, broadline pricing, cutting-room specialty orders, and tight ERP integration. Strkr ships a CRM shaped around all six with Strkr AI drafting quote narratives in the vocabulary of the trade.
A foodservice distributor runs an operation that most CRMs cannot see straight. The DSR (district sales rep) visits chefs on a weekly route. The chef samples a new product. The menu changes next cycle. The broadline pricing applies at the GPO (group purchasing organization) level and the specialty cutting runs at the per-restaurant level. The pain points below are what Strkr onboarding hears on every intake call with a foodservice team, from the 11-rep specialty supplier to the 180-rep broadline distributor.
A DSR carrying 42 restaurant accounts decides who to visit each week based on tribal memory. The high-volume restaurants get seen weekly. The 14 marginal accounts get skipped for three weeks and churn quietly. Strkr runs route optimization on the DSR territory with visit cadence rules (weekly for A accounts, biweekly for B, monthly for C), menu-cycle timing, and sampling priorities. The DSR sees the proposed week and tunes the two or three edge cases.
The DSR carries 240 sample SKUs across the territory. The sampling tracking lives on a paper slip or nowhere. The merchandising team cannot see which SKUs got sampled where, which chefs tasted what, or which samples converted to orders. Strkr tracks sample distribution per visit (SKU, quantity, chef, promised followup) with reorder flag when inventory drops and conversion reporting back to the merchandising team.
Restaurants change menus on a 4-week, 8-week, or seasonal cycle. The DSR who visits six days after the menu change missed the window to influence the new menu. Strkr tracks the menu cycle per account with the next-change date, the current menu items ordered, and the alert cadence so the DSR arrives in the right window.
A restaurant may belong to a GPO (Dining Alliance, Buyers Edge, SpenDifference, Entegra) with contract pricing on hundreds of items, plus order street-priced items the GPO does not cover. The DSR writing a quote has to apply the right pricing per line. Strkr pulls both GPO and street pricing from the ERP (iTradeNetwork, Dot Foods, custom broadline ERPs) and applies the correct price per line automatically.
For specialty cutting (center-of-plate protein, custom portion, specific trim) the chef sends a text to the DSR who texts the cutting room who writes it on a clipboard. The order drifts in the clipboard-to-ERP translation. Strkr ships cutting-room orders as a first-class object with specification, portion count, promised ready-time, and chef approval signature capture inline.
A restaurant on net-30 falls past due. The credit department puts a hold. The delivery truck arrives at the restaurant Tuesday morning and the chef gets told payment is required. The relationship takes a hit. Strkr pulls credit status onto the account record in near real time so the DSR sees the hold risk 48 hours ahead and resolves with the chef before the truck rolls.
The default CRM schema does not map to foodservice. Strkr ships a tunable foodservice schema with Restaurant, Chef, DSR Visit, Sample Event, Menu Cycle, Cutting Order, GPO Membership, and Deal Promotion as first-class objects.
A restaurant in Strkr carries concept (independent, chain, franchise, hotel F and B, catering, institutional), cuisine type, cover count per week, menu-change cadence, buying authority (owner, chef, GM, F and B director), and visit tier (A, B, C). The schema drives the route optimization and the sampling priority.
A chef contact carries role (executive chef, chef de cuisine, sous chef, chef-owner), tenure at the restaurant, menu preference signal (farm-to-table, scratch kitchen, protein-forward, scratch pasta), and prior sample response history. The DSR walks into the visit with the vocabulary that matches the chef.
Each DSR visit captures the chef met, the samples distributed, the orders written, the competitor mentions, the menu discussion, and the next-step promise. The record lands on the account inline. The weekly manager digest surfaces the visit outcomes.
A sample event ties to the DSR visit with the SKU, the quantity sampled, the chef recipient, the outcome (tasted and liked, tasted and declined, held for later, promised to menu), and the conversion to an order downstream. The merchandising team sees sample-to-order conversion per SKU, per DSR, per concept type.
The menu cycle tracks the current menu with the SKU-level composition and the next-change date. For restaurants on a 4-week cycle the DSR gets alerted at week three to time the sampling for the new menu. For restaurants on a seasonal cycle the alert fires six weeks ahead.
A cutting order ties to the restaurant and the chef with specification (cut, trim, portion weight, portion count), promised ready-time, and chef approval signature. The cutting room sees the queue by promised time with the specification clear.
The DSR mobile is the primary surface for a foodservice rep. Strkr Mobile ships offline-ready with the day route, chef cards, sample inventory, and quick-quote in one view.
The day route loads at 6 AM with the day visits. Each visit card shows the restaurant, the chef, the last-visit summary, the menu-cycle status, the recommended samples to bring, and the AI-drafted pre-visit brief. The DSR reads the brief in the truck between stops.
The sample tracker shows the current truck inventory with the planned distribution for the day route. The DSR captures each sample event inline (SKU, quantity, chef). Reorder flags fire when inventory drops. The merchandising team sees daily sampling activity.
The chef says we want to add this to the menu. The DSR opens the quick-quote, pulls the item with the applicable GPO or street price, builds the order (case count, delivery date), and collects the chef signature. The order flows to the ERP for fulfillment.
When the chef discusses menu direction for the next cycle the DSR records the conversation into voice-to-text. Strkr AI formalizes the capture into the menu-cycle object with the proposed items, the price-point target, and the ingredient themes.
The credit hold flag surfaces on the restaurant card 48 hours before a potential truck arrival on hold. The DSR calls the chef or the F and B director to resolve the payment issue before the truck rolls.
The DSR picks the specification (ribeye, 10-ounce, 1.25-inch thick, 24 portions, ready Thursday 2 PM), gets chef signature, and the order flows to the cutting room. The cutting room sees the queue by promised time.
Foodservice AI drafts in the vocabulary of the trade (center-of-plate, back-of-house, scratch, farm-to-table, scratch pasta, protein forward, cover count, menu cycle). Strkr AI learns the voice from the first 20 approved emails and visit notes.
Before each visit Strkr AI drafts the chef context brief with the chef tenure, the current menu, the recent samples, the open items, and the recommended discussion. The DSR reads in the truck.
For restaurants with a menu change in three weeks Strkr AI drafts the outreach proposing specific items for the new menu with the chef cuisine signal applied. The DSR approves and sends.
After a sample event Strkr AI drafts the followup email asking the chef about the sample outcome and proposing a menu add if the response is positive. Reply rates typically run 42 percent on these drafts versus 14 percent on generic followups.
For each cutting order Strkr AI drafts the confirmation to the chef with the specification restated, the ready-time, and the delivery coordination. The chef sees the specification in writing before the cutting runs.
Weekly Strkr AI drafts the merchandising brief with the top-moving SKUs, the stalling SKUs, the sample-to-order conversion by category, and the recommended merchandising focus for the next period.
For the sales manager Strkr AI drafts the weekly 1:1 coaching note per DSR with the visit outcomes, the sampling activity, the deal advancement, and the recommended coaching focus. The 1:1 runs on data.
Most foodservice distributors try a general CRM and bounce because the schema does not fit DSR work. The comparison below is Strkr foodservice posture versus a generic sales CRM.
| Feature | Strkr | Generic sales CRM for foodservice |
|---|---|---|
| Restaurant object with concept and cadence | Native with buying authority. | Account record only. |
| Chef contact with tenure and signal | Native with sample response history. | Contact record only. |
| DSR route optimization | Cadence, menu cycle, sampling weighting. | Manual rep decision. |
| Sample inventory tracking | Per DSR with reconciliation and conversion. | Paper slip or external spreadsheet. |
| Menu cycle alerts | Three-weeks-before change timing. | None. |
| GPO and street pricing split | Native pricing engine per line. | Manual lookup. |
| Cutting order object | First-class with specification and signature. | Text message to cutting room. |
| Credit hold early warning | 48-hour flag on account record. | Truck arrives on hold. |
| Flat per-seat pricing | Starter 29, Pro 59, Scale 119. | Per rep plus module fees. |
The playbooks below are patterns Strkr onboarding sees across foodservice deployments.
A 24-rep broadline distributor ran DSR routes on tribal knowledge with 42 accounts per DSR. Strkr onboarding ran a 18-business-day migration with route optimization. Monthly visits to C accounts lifted 42 percent. Sampling activity captured ran 3 times what the merchandising team previously saw.
A 60-rep specialty protein distributor ran cutting orders on text messages to the cutting room. Order drift ran 11 percent. Strkr onboarding shipped the cutting-order object with signature capture. Order drift dropped to under 2 percent. The cutting room ran a scheduled day instead of a reactive scramble.
A 90-rep broadliner distributor ran 180 GPO contracts (Dining Alliance, Buyers Edge, Entegra, SpenDifference, custom). DSRs quoted at the wrong price regularly. Strkr onboarding ran a 32-business-day migration with GPO and street pricing engine. Quote accuracy ran 99.4 percent against ERP post-cutover.
A 180-rep broadliner ran a legacy CRM and a tangle of custom add-ons at 420,000 annually. Strkr onboarding ran a 48-business-day migration consolidating the stack. Monthly software spend dropped 180,000 annually. DSR mobile adoption hit 94 percent in week four.
A 14-rep specialty cheese importer ran a tight relationship-driven motion with chef sampling as the primary channel. Strkr onboarding ran a 10-business-day migration shipping the sample tracker and the menu-cycle timing. Sample-to-menu conversion lifted from 14 to 32 percent. The importer closed 11 new scratch-kitchen accounts in the first full quarter.
Book a 30 minute call. We will walk through the DSR routing, the sample tracker, and the menu-cycle timing with your actual territory and ERP structure.
Strkr integrates with iTradeNetwork, Dot Foods, Sysco Shop, US Foods Direct, and custom broadline ERPs through the standard webhook spec with HMAC signing and the published OpenAPI spec. For teams on legacy broadliner stacks the integration lands in a sprint of three to five weeks. For specialty distributors on cloud ERPs the integration lands in one to two weeks. The pricing matrix pulls from the ERP for GPO and street pricing with the quote-to-order writeback flowing in the reverse direction.
Each DSR carries a sample inventory with starting count. The sample tracker shows truck inventory, planned distribution for the day route, and captured events per visit (SKU, quantity, chef). Reorder flags fire when inventory drops below threshold. The merchandising team sees daily sampling activity with the SKU-to-concept-type-to-chef-tenure signal, which drives next-cycle sampling priorities. Sample-to-order conversion runs continuously on the data.
Yes. The pricing engine pulls GPO contract pricing (Dining Alliance, Buyers Edge, Entegra, SpenDifference, custom co-ops) and street pricing from the ERP. The DSR writing a quote sees the applicable price per line automatically based on the restaurant GPO membership. For GPO items the contract price applies. For non-GPO items street pricing applies. The DSR cannot send a quote with a mixed-pricing error because the engine applies the rule rather than the DSR applying memory.
Each restaurant carries a menu-change cadence (4-week, 8-week, seasonal, as-needed). The alert fires at three weeks before the next change with the recommended samples to time for the new menu, the chef cuisine signal, and the AI-drafted outreach proposal. The DSR adjusts the route to visit the chef in the right window. For restaurants on seasonal cycles the alert fires six weeks ahead to allow adequate sampling and menu-planning time.
Strkr prices flat per seat at 29 on Starter, 59 on Pro, and 119 on Scale per user per month, with a 14-day trial. The foodservice capability is included at every tier. Salesforce Food and Beverage Cloud runs 150 to 300 per user per month depending on edition. Custom foodservice CRMs (iTradeNetwork AP, built-in-house, legacy broadliner tools) typically run 125 to 250 per user per month including maintenance. For a 60-rep foodservice team the combined savings land between 72,000 and 162,000 per year on licensing alone.
Strkr is HIPAA compliant with a BAA available on request (relevant for institutional foodservice to healthcare), GDPR and CCPA compliant today, and SOC 2 Type II is in progress with a target of 2026-Q4. For foodservice distributors handling FSMA (Food Safety Modernization Act) traceability the audit trail captures product movement with the standard retention tunable to the FSMA requirement. Integration tokens live in AWS KMS. SSO is live on Scale tier through Clerk, MFA with TOTP plus text-based verification is live across all tiers.
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