Wholesale sales representatives
Official title Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products (SOC 41-4012)
Also called Sales rep, B2B sales rep, Outside sales rep, Field sales representative, Account executive
In brief
In May 2025, BLS counted 1,238,190 US wholesale sales representatives, with median pay of $72,080 a year. Of the BLS counts since 2003, the highest was 1,505,930, in May 2007. The earliest figure here is an estimate of 58,000 from 1880, not measured the same way as today's count. The last full technology era for wholesale sales representatives: Marketing automation + sales engagement platforms, 2015 to 2023. Sales engagement platforms began compressing the ratio of inside-sales reps needed to generate a given number of qualified leads.
What the sources say
Official outlook
BLS projects employment to change -0.9% from 2025 to 2035.
AI exposure studies
- 70.7% of this job's tasks are exposed to large language models. Not a forecast of job losses. Eloundou and others, 2023
Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. BLS publishes these counts as yearly survey snapshots and cautions against reading them as a precise trend. In May 2021 BLS changed how it estimates these counts (a model-based method using three years of survey data) and moved fully to the 2018 occupation codes, so part of a change across 2021 can come from the method rather than the work.
Last updated .
Cite this page
Future History. (2026, October 11). Wholesale sales representatives: jobs and pay since 1880 [Data set; data as of BLS OEWS May 2025; BLS Employment Projections 2025-35]. https://futurehistory.earth/timeline/41-4012
Future History. "Wholesale sales representatives: jobs and pay since 1880." Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. Last modified October 11, 2026. https://futurehistory.earth/timeline/41-4012.
@misc{futurehistory_41_4012, author = {{Future History}}, title = {Wholesale sales representatives: jobs and pay since 1880}, year = {2026}, month = oct, howpublished = {\url{https://futurehistory.earth/timeline/41-4012}}, note = {Last updated 2026-10-11. Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35}, }
The access date is today's date on your device.
≈ $70,232 in 2024 prices (derived by us, CPI-adjusted)
January 16, 1888: Six traveling salesmen meet at the Neil House hotel in Columbus, Ohio, and found the Order of United Commercial Travelers of America. The organization's original objectives included indemnifying members disabled far from home, establishing a widows-and-orphans reserve fund, and securing "just and equitable favors for traveling salesmen." By 1969 the Order had 240,000 members across 680 local councils -- a measure of how large and formalized the wholesale sales profession had become. The founding of a mutual aid fraternity around the specific hazards of the traveling sales life (accidents in transit, illness away from family, death without nearby support) illuminates the physical hardship the railroad-era commercial traveler faced before workers' compensation, health insurance, and widespread hospitalization.
John H. Patterson at National Cash Register launched what is widely considered the first systematic sales training program in American history, creating standardized scripts, objection-handling guides, and territory management procedures that became templates for the entire manufacturing sales profession. Patterson famously fired salespeople who did not follow the script and instituted the first known sales quota systems. Alumni of the NCR sales force, including Thomas Watson Sr. (later CEO of IBM), went on to build the sales cultures of some of the largest American corporations of the 20th century. The NCR model established that wholesale manufacturing sales was a learnable, codifiable skill rather than an innate talent -- a conceptual shift that enabled systematic scaling of field sales forces.
Arthur Miller's "Death of a Salesman" opens on Broadway on February 10, 1949 (written 1947, workshopped through 1948), instantly becoming one of the most consequential portraits of the American sales profession in cultural history. Willy Loman, a wholesale salesman nearing the end of a 34-year career, embodies the collision between the myth of the self-made commercial traveler and the structural reality of a profession where youth, energy, and "being well liked" erode with age. Miller's play arrived precisely at the historical moment when the systematic, quota-managed, CRM-precursor sales organization was standardizing -- and humanizing -- what had previously been experienced as heroic individual enterprise. The play's endurance in the American canon reflects how deeply the figure of the field sales rep had embedded itself in the national self-image by mid-century.
Tom Siebel founds Siebel Systems, which within a decade became the dominant enterprise CRM platform for manufacturers, pharmaceutical companies, and major distributors. The Siebel platform did something qualitatively new for sales management: it made the individual field rep's customer relationships visible to the organization in real time, for the first time putting the institutional knowledge that had previously lived in the rep's Rolodex inside a shared company database. When Oracle acquired Siebel in 2006 for $5.85 billion, the "relationship as company asset" model had become the permanent organizational frame of the profession, and the rep who took the customer list when they left became a compliance and legal issue rather than a routine fact of sales life.
The Great Recession (December 2007 to June 2009) struck wholesale trade employment hard. Wholesale trade employment declined by approximately 358,700 jobs (10.4%) from 2007 to 2010 as B2B purchasing volumes collapsed across manufactured goods, building materials, and durable goods categories. Wholesale and manufacturing sales representatives saw significant layoffs as distributors and manufacturers cut territories, eliminated outside rep positions in weaker geographies, and shifted accounts to inside telephone coverage. Recovery was slow: wholesale trade employment remained 235,000 jobs below 2007 levels as late as 2012. The recession reinforced the inside-outside bifurcation in the occupation -- territory consolidation during the downturn permanently reduced the number of field rep positions in commodity categories.
Gartner "AI in B2B Sales Technology" (January 2026) identifies 2024 as the inflection year when AI became a mandatory rather than optional component of the B2B sales stack: more than 70% of enterprise sales organizations had deployed at least one AI-powered tool (call intelligence, AI-driven sequencing, or CRM AI assistants) by end of 2024. Harvard Business Review research from September 2025 confirmed that buyers in complex B2B contexts still prefer human reps for discovery and negotiation, setting a natural floor on the displacement of experienced field reps -- but also confirmed that AI-equipped reps were significantly outperforming non-adopters on cycle time and win rates. The occupation entered 2025 as the clearest example in the BLS dataset of a role where technology is bifurcating rather than uniformly displacing.
Will AI replace wholesale sales representatives? What the research says
Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, we show the disagreement rather than an average.
Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, the spread is the honest signal.
What's changing day to day for wholesale sales representatives
Three parts of your work where AI is already doing real lifting, and what stays yours.
AI is taking this onLog call outcomes, update opportunity stages, and draft follow-up emails automatically: configure Salesforce Agentforce or HubSpot Breeze to auto-populate call notes from Gong transcripts, update CRM fields based on conversation content, and generate follow-up email drafts, eliminating the 30–45 minutes of post-call administrative work that previously consumed a large share of rep selling time.
Log call outcomes, update opportunity stages, and draft follow-up emails automatically: configure Salesforce Agentforce or HubSpot Breeze to auto-populate call notes from Gong transcripts, update CRM fields based on conversation content, and generate follow-up email drafts, eliminating the 30–45 minutes of post-call administrative work that previously consumed a large share of rep selling time.[4],[5]
CRM data entry is being automated almost entirely for reps using Gong + Salesforce or HubSpot integrations. Redirect this saved time to account research, executive outreach prep, or additional customer-site visits: the high-value activities that AI cannot perform. Master your CRM's AI-generated pipeline analytics to spot deals that need attention before they slip.
AI is taking this onPrepare sales forecasts, territory reports, and expense submissions using AI-assisted pipeline analytics: use Salesforce Einstein or HubSpot AI to auto-generate forecast summaries from deal-stage data, flag at-risk opportunities based on activity signals, and auto-populate expense reports, replacing the manual spreadsheet work that previously consumed Friday afternoons.
Prepare sales forecasts, territory reports, and expense submissions using AI-assisted pipeline analytics: use Salesforce Einstein or HubSpot AI to auto-generate forecast summaries from deal-stage data, flag at-risk opportunities based on activity signals, and auto-populate expense reports, replacing the manual spreadsheet work that previously consumed Friday afternoons.[4],[2]
Let AI generate the forecast: your job is to validate it with ground-truth knowledge from your account conversations that is not yet in the CRM. The most valuable input you add to a forecast call is the qualitative context: "that deal is listed as Stage 4 but the champion left the company last week." Build the habit of tagging CRM deals with qualitative notes immediately after key account conversations so the AI pipeline model has better inputs.
AI is sitting alongside you hereProspect new accounts using AI-enriched lead intelligence: use ZoomInfo Copilot or Apollo.io to surface intent signals (job change triggers, technology adoption, funding events), build targeted account lists, and prioritize outreach by likelihood-to-buy score rather than static territory directories, replacing the manual business-directory search.
Prospect new accounts using AI-enriched lead intelligence: use ZoomInfo Copilot or Apollo.io to surface intent signals (job change triggers, technology adoption, funding events), build targeted account lists, and prioritize outreach by likelihood-to-buy score rather than static territory directories, replacing the manual business-directory search.[10],[4],[2]
Shift from list-building to signal interpretation: let AI surface the leads, and focus your time on qualifying which intent signals actually fit your product and territory. Develop a hypothesis-driven outreach framework: know exactly why you are calling this buyer, this week. Reps who use AI-sourced intent data but apply human judgment to prioritize and personalize outperform purely automated outreach (Salesforce State of Sales 2024).
Where wholesale sales representatives go next
Natural next steps for someone with your foundation: not exits, evolutions.
- Sales Managers
- US median pay
- $148,270 (May 2025)
- BLS outlook 2025-35
- +4.5%
- Sales Engineers
- US median pay
- $124,900 (May 2025)
- BLS outlook 2025-35
- +2.8%
- Customer Service Representatives
- US median pay
- $44,770 (May 2025)
- BLS outlook 2025-35
- -5.3%
What each move takes
Sales Managers
The most natural upward path for a high-performing B2B sales rep is into sales management, owning a territory team's quota, coaching rep skill development, and managing forecast and pipeline health for the district or region. AI is changing the Sales Manager role (more time on coaching and less on manual reporting, as Salesforce Agentforce generates forecasts automatically), but quota accountability, hiring judgment, and team leadership are irreducibly human. BLS projects steady demand for Sales Managers through the 2030s as organizations restructure their field sales forces around AI-assisted selling. Reps with several years of quota attainment and a few years mentoring junior reps are the standard candidate profile.
- · Salesforce or HubSpot CRM analytics: pipeline management, forecast accuracy, rep productivity dashboards
- · Coaching methodology: call reviews with Gong, structured feedback frameworks (MEDDIC, SPIN Selling, Challenger Sale)
- · Hiring and onboarding: building a rep hiring scorecard; 30/60/90-day ramp curriculum design
- · P&L literacy: territory-level revenue, gross-margin contribution, and customer acquisition cost metrics
- · Quota modeling: territory design, quota allocation, and incentive compensation plan mechanics
How has the work of wholesale sales representatives changed since 1840?
The tools that defined the work, one line per era. Select an era to see how it reshaped the work.
Sample case + railroad pass (the drummer era)
The commercial traveler of the mid-19th century carried a physical sample case, sometimes a trunk-sized affair, containing miniaturized or actual examples of every product in the line. The sales call was a physical demonstration: the rep unpacked the samples on the buyer's counter or in a hotel room and walked through the catalog. Orders were written on paper order books, copied in triplicate (using carbon paper by the later period), and mailed to headquarters weekly. The railroad pass was as important as the samples -- manufacturers negotiated volume-discount travel arrangements with the rail lines, and the commercial traveler's life was defined by timetables, station hotels, and the rhythms of the railway network. The tools of the era did not augment the rep's persuasive work; they enabled it by making geography tractable.
Telephone outreach + typewritten catalog (pre-automobile era)
Alexander Graham Bell's telephone patent was issued in 1876; by the late 1880s business telephone exchanges were operating in most US cities with commercial populations large enough to support them. For the wholesale sales profession, the telephone served two functions. First, it created the inside-sales complement to field work: reps could now phone ahead before a visit, confirm orders by wire, and follow up on outstanding quotes without a separate call. Second, it enabled the emergence of order-taking by phone, which began to separate high-volume commodity buyers from the accounts that still needed in-person field visits. The typewritten catalog, enabled by the Remington No. 2 typewriter (1878 onward) and subsequently by offset printing, replaced hand-lettered price lists and gave reps a standardized tool for quotation. Neither technology displaced the field rep but each added an administrative layer that would eventually grow into the office-bound inside-sales role.
Company automobile + territory routing (the road-rep era)
The automobile replaced the railroad as the primary sales travel mode in the 1920s. Unlike the railroad, which confined a rep to cities on the rail line and to the timetable, the automobile made every road-accessible buyer a prospect. Manufacturers began assigning company cars (the "company car" as a sales perk was well established by the 1930s) and redesigning territories around drive-time rather than rail-stop geography. The effect was to increase call frequency and expand territory scope simultaneously: a rep could now make eight to ten account calls per day in a compact geography rather than the three to four a day the rail schedule allowed. Territory management became the central skill of the role, and companies began developing systematic route-planning, call-report requirements, and quota-setting frameworks. By 1920, as HBS researchers noted, "sales management had arrived" as an essential corporate discipline, with systematic territory design, customer evaluation protocols, and standardized sales procedures.
Effect on the workThe automobile era is associated with the structural expansion of the wholesale sales workforce from the 1920s through the 1960s, as manufacturers extended their direct-sales reach into markets previously served by commission agents or jobbers. Employment in the category grew from an estimated 350,000 in 1920 to an estimated 700,000 by 1950.
Rolodex + IBM Selectric + paper CRM (the territory-book era)
Through the 1960s, 1970s, and 1980s, the wholesale sales rep's information system was a Rolodex (invented in 1956) supplemented by a physical "territory book": a binder or card file of account information, purchase history, key contacts, and notes accumulated over years of calls. When a rep left a company, they sometimes took the territory book with them -- customer relationships were genuinely personal and largely unstructured in corporate systems. The IBM Selectric typewriter (1961) and the photocopier (Xerox 914, launched commercially 1959) added professional documentation capability but did not change the fundamental information architecture. Sales meetings were run from paper forecast sheets, and the idea that a sales manager could see the national pipeline in real time was a vision, not a reality. Contact management software emerged in 1987 with the launch of ACT!, which was essentially a digital Rolodex -- a step toward structure but not yet a shared database. The lack of shared systems meant the rep's institutional knowledge was locked in personal files, creating both leverage (hard to fire someone who carries the account relationships) and organizational vulnerability.
Siebel CRM + laptop PC (the shared-pipeline era)
Tom Siebel left Oracle in 1993 to found Siebel Systems, which by the late 1990s had become the default enterprise CRM platform for manufacturers, pharmaceutical companies, telecommunications firms, and major distributors. Siebel introduced a "shared operating reality" that changed the rep's relationship to customer data: contacts, opportunities, pipeline stages, and account history now lived in a database the manager could read without calling the rep. The laptop computer, paired with the dial-up and eventually broadband connection, made it practical for field reps to update CRM records from hotels and home offices after sales calls. The transformation was cultural as well as technical: the rep who had previously owned the customer relationship through personal knowledge now shared it with the company's database. Pipeline visibility became a management lever; forecast accuracy became a measurable metric. When Oracle acquired Siebel in 2006, Salesforce.com, founded in 1999, had already begun displacing it with a cloud subscription model.
Effect on the workCRM adoption broadly shifted leverage from individual reps toward sales organizations by making customer relationships visible and transferable. This made it easier to replace individual reps without losing account continuity, which likely contributed to the commoditization of high-volume inside-sales roles relative to complex field roles where relationship trust still required personal tenure.
Salesforce.com + LinkedIn + smartphone (the cloud-CRM era)
Salesforce launched in February 1999 with a deliberately disruptive pitch: software should run in the browser, not in a server room. By the mid-2000s it had become the fastest-growing CRM platform, displacing Siebel in mid-market accounts and eventually challenging it in enterprise. For the wholesale sales rep, cloud CRM meant the territory database was accessible from any browser, pipeline updates happened instantly, and sales managers could pull live dashboards without waiting for weekly call reports. LinkedIn, launched in 2003 and reaching about a hundred million users by 2011, provided something that had never existed before: a searchable directory of professional relationships that allowed reps to identify contacts at target accounts without cold-calling switchboards. The smartphone (iPhone launched June 2007; Android in 2008) closed the last gap: the field rep could update Salesforce between calls, text prospects on the road, and check LinkedIn on the floor of a trade show. The combination of cloud CRM and professional social networking transformed how reps prospected and managed their pipelines, though the fundamental work of building trust in person at customer sites remained unchanged.
Marketing automation + sales engagement platforms (Outreach, Salesloft, HubSpot sequences)
Sales engagement platforms emerged in the early 2010s (Outreach founded 2011; Salesloft pivoted to engagement 2015; Yesware and similar tools predated them) and reached broad adoption in B2B sales teams by 2015-2020. The core innovation was automating the outreach sequence: instead of a rep manually writing each cold email and logging each call attempt, the platform managed the cadence automatically, personalizing templates by account segment, triggering follow-ups based on open and click data, and routing warm responses to the rep for live conversation. The effect on the commodity inside-sales role was immediate: a rep using engagement-platform sequencing could run more touches per day than manual outreach allowed. For field reps working complex accounts, the platforms offloaded the administrative overhead of follow-up without replacing the in-person relationship work. Salesforce "State of Sales" (2024) would later find that 69% of sales teams had adopted AI-assisted prospecting sequences, essentially confirming that this technology had become table stakes.
Effect on the workSales engagement platforms began compressing the ratio of inside-sales reps needed to generate a given number of qualified leads. Teams that previously needed several SDRs (sales development representatives) for a given lead volume could achieve similar results with several using automated sequencing. This productivity compression affected the commodity high-volume inside-sales end of the 41-4012 occupation more than the field-sales complex-account end.
Generative AI sales tools (Gong, ZoomInfo Copilot, Salesloft Rhythm, Salesforce Agentforce)
The 2023-2025 period saw the rapid deployment of generative AI across the wholesale sales technology stack. Gong's call intelligence platform (thousands of enterprise customers by 2025) began offering AI-generated call summaries, real-time coaching cues, and deal risk alerts derived from call transcripts. ZoomInfo Copilot (launched March 2024) automated account prioritization by surfacing AI-scored intent signals from the ZoomInfo data network. Salesloft Rhythm AI (GA October 2024) created an AI-driven daily action queue for each rep based on signal aggregation. Salesforce Agentforce (generally available from October 2024) enabled autonomous CRM maintenance, follow-up drafting, and pipeline forecasting without rep data entry. The cumulative effect is the automation of the administrative half of the sales role -- prospecting lists, outreach sequences, post-call logging, forecast reporting -- while leaving the persuasive and relationship half (in-person calls, negotiation, account management, trade shows) structurally unchanged. The likely result is a bifurcation within the occupation: adopters gaining productivity, non-adopters facing pressure from more productive peers.
Effect on the workBLS projects little net change in 41-4012 employment over 2025-2035: from 1,279.4 thousand jobs in 2025 to 1,268.2 thousand in 2035.
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Browse all rolesSales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products employment and pay by year
In other countries
The latest figure each country's statistics agency publishes for this job. Each uses its own occupation definition, survey basis and currency, so the numbers are not directly comparable with each other or with the US figures.
Canada (NOC 64101)
- Employment, 2020
- 61,250, Statistics Canada Census 2021 Official statistic Report an errorStatistics Canada Census of Population 2021: number of persons with employment income in NOC 64101 Sales and account representatives - wholesale trade (non-technical), Canada, reference year 2020. A recipients basis (anyone with employment income during the year), slightly broader than a point-in-time employed count. Statistics Canada Open Licence.
- Median pay, 2020
- C$71,500, Statistics Canada Census 2021 Official statistic Report an errorStatistics Canada Census of Population 2021 (Table 98-10-0586): median employment income for NOC 64101 Sales and account representatives - wholesale trade (non-technical), Canada, reference year 2020, full-year full-time workers (the basis comparable to the US OEWS full-time median). Statistics Canada Open Licence.
United Kingdom (UK SOC 3552)
- Employment, 2025
- 165,000, ONS ASHE 2025 Official statistic Report an errorONS Annual Survey of Hours and Earnings (Table 14): employee jobs in SOC 3552 Business sales executives, United Kingdom, 2025 (ASHE "number of jobs", thousands x1000; excludes self-employment). Open Government Licence v3.0.
- Median pay, 2025
- £36,498, ONS ASHE 2025 Official statistic Report an errorONS Annual Survey of Hours and Earnings (Table 14.7a): median gross annual pay for all employee jobs in SOC 3552 Business sales executives, United Kingdom, 2025. Open Government Licence v3.0.
Australia (ANZSCO 6113)
- Employment, 2025
- 70,900, ABS Labour Force Survey Official statistic Report an errorABS Labour Force Survey (Detailed), table EQ08: employed persons in ANZSCO 6113 Sales Representatives, national (summed across sex and state/territory), annual average of 4 quarterly estimates.
- Median pay, 2025
- A$87,984, ABS Employee Earnings May 2025 Official statistic Report an errorAnnualised (x52) from A$1,692 median weekly earnings. ABS Survey of Employee Earnings and Hours, May 2025: median pay for full-time non-managerial employees paid at the adult rate, before tax. Surfaced via the Jobs and Skills Australia occupation profile.
View all 33 years of cited US data, each linked to its source
| Year | US employment | Annual pay (median unless marked) | Source | Report |
|---|---|---|---|---|
| 1880 | 58,000 | n/a | Est., IPUMS USA / US Census Bureau Researched context | Report |
| 1888 | 150,000 | n/a | Est., Order of United Commercial Travelers of… Researched context | Report |
| 1910 | n/a | $1,200 | Est., NEH Humanities Researched context | Report |
| 1920 | 350,000 | n/a | Est., HBS Working Knowledge Researched context | Report |
| 1950 | 700,000 | n/a | Est., HBS Working Knowledge Researched context | Report |
| 1960 | n/a | $8,500 | Est., University of Missouri Libraries Researched context | Report |
| 1984 | n/a | $23,400 | BLS CPS 1984 Researched context | Report |
| 1988 | n/a | $28,000 | BLS CPS 1988 Researched context | Report |
| 1999 | n/a | $45,536 | Census 2000 Researched context | Report |
| 2000 | 1,550,000 | $42,000 | Est., O*NET 41-4012.00 (employment) Researched contextEst., BLS Occupational Outlook Handbook (pay) Researched context | Report |
| 2003 | 1,421,660 | $43,860 | BLS OEWS May 2003 Official statistic | Report |
| 2004 | 1,385,630 | $45,400 | BLS OEWS May 2004 Official statistic | Report |
| 2005 | 1,436,800 | $47,380 | BLS OEWS May 2005 Official statistic | Report |
| 2006 | 1,488,990 | $49,610 | BLS OEWS May 2006 Official statistic | Report |
| 2007 | 1,505,930 | $50,750 | BLS OEWS May 2007 Official statistic | Report |
| 2008 | 1,493,760 | $51,330 | BLS OEWS May 2008 Official statistic | Report |
| 2009 | 1,409,780 | $50,920 | BLS OEWS May 2009 Official statistic | Report |
| 2010 | 1,367,210 | $52,440 | BLS OEWS May 2010 Official statistic | Report |
| 2011 | 1,390,480 | $53,540 | BLS OEWS May 2011 Official statistic | Report |
| 2012 | 1,414,030 | $54,230 | BLS OEWS May 2012 Official statistic | Report |
| 2013 | 1,403,770 | $54,410 | BLS OEWS May 2013 Official statistic | Report |
| 2014 | 1,394,640 | $55,020 | BLS OEWS May 2014 Official statistic | Report |
| 2015 | 1,409,550 | $55,730 | BLS OEWS May 2015 Official statistic | Report |
| 2016 | 1,404,050 | $57,140 | BLS OEWS May 2016 Official statistic | Report |
| 2017 | 1,391,400 | $56,970 | BLS OEWS May 2017 Official statistic | Report |
| 2018 | 1,350,180 | $58,510 | BLS OEWS May 2018 Official statistic | Report |
| 2019 | 1,344,530 | $59,930 | BLS OEWS May 2019 Official statistic | Report |
| 2020 | 1,278,670 | $62,070 | BLS OEWS May 2020 Official statistic | Report |
| 2021 | 1,242,490 | $61,600 | BLS OEWS May 2021 Official statistic | Report |
| 2022 | 1,273,400 | $63,230 | BLS OEWS May 2022 Official statistic | Report |
| 2023 | 1,288,920 | $65,630 | BLS OEWS May 2023 Official statistic | Report |
| 2024 | 1,266,860 | $66,780 | BLS OEWS May 2024 Official statistic | Report |
| 2025 | 1,238,190 | $72,080 | BLS OEWS May 2025 Official statistic | Report |
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