SaaS vs Custom

Mid-market Australian wholesale distributor, 8 years running. Three divisions: (1) Food service distribution (restaurants, cafes, institutional kitchens, QSRs, catering). 500 active accounts. Average order: $800 (40 items, weekly replenish). Annually: 26,000 orders × $800 = $20.8M gross sales. (2) Hardware distribution (tradies, small construction, maintenance). 350 active accounts. Average order: $1,200 (tools, fasteners, safety gear, quarterly + emergencies). Annually: 15,000 orders × $1,200 = $18M gross sales. (3) Beauty wholesale (salons, cosmetics retailers, spas). 200 active accounts. Average order: $600 (hair products, skincare, restocking). Annually: 10,000 orders × $600 = $6M gross sales. Combined: 1,050 accounts, 51,000 orders/year, $44.8M gross sales, ~$6.7M net margin (15% net, typical wholesale). Current pain points: (1) Pricing inconsistency — distributor offers tiered pricing: "Big-box restaurants (50+ locations) = 25% discount. Mid-size restaurants (5–20 locs) = 18% discount. Small cafes (1 loc) = 12% discount. One-off buyers = list price." But no system enforcement. Sales rep calls Friday: "Customer ABC Cafe (small cafe, 12% discount tier). They want 100 units of Product X (list $50/unit). Quote: $50 × 0.88 = $44/unit × 100 = $4,400." Same rep calls Monday (different rep's customer, same ABC Cafe). Monday rep doesn't have Friday history. Quotes: "Product X, ABC Cafe, estimate $46/unit × 100 = $4,600." ABC Cafe owner notices: Friday quote $4,400, Monday quote $4,600. Calls distributor: "Why different price in 3 days?" Distributor confused (no central pricing log). Sales manager manually checks old quote (printed PDF from Friday, lost in inbox). Finds Friday $4,400 quote. Updates Monday rep: "Should have been $4,400. Quote $4,200 to recover (negotiate down as apology)." ABC Cafe sees $4,200 (even better deal). Distributor margin damaged: was $600 (at $44/unit), now $200 (at $42/unit). Across 51,000 orders/yr, pricing errors = 5–10% margin leakage = $335–670k/yr lost profit. (2) Credit risk — distributor tracks customer credit limits on spreadsheet: "Customer A: approved $50k credit. Currently owed $47k. Available balance: $3k." Sales rep calls: "Customer A wants to order $5k (Product X + Y). OK to ship?" Rep knows limit is ~$50k but doesn't check specific number (spreadsheet access slow, needs manager approval). Says "probably fine, ship it." Order shipped $5k. Total outstanding: $47k + $5k = $52k (exceeds $50k limit by $2k). Customer doesn't pay (financial trouble, cash flow crunch). Bad debt: $2k. Distributor now holds $52k receivable, can't recover $2k (write-off). Over year, 3–5 credit mishaps = $6–10k bad-debt loss. (3) Supplier reordering — distributor manually monitors stock. Product X: "Stock 500 units, sells 20/day avg. Reorder point: 150 units (7-day buffer before stockout). Supplier lead time: 5 days. Reorder quantity: 500 units, MOQ, cost $12/unit = $6k per order. Next reorder Mon." Manual tracking: Thursday stock count = 250 units (recount error, actually 380 units in system). Manager thinks stockout risk (250 - 20×5days = 150 units, at threshold). Approves reorder Mon (500 units, $6k spend). But Monday recount reveals: actual stock 380 units (recount error from Thu). Reorder unnecessary. 500 units arrive Wed. Stock swells: 380 + 500 = 880 units. Storage costs spike (small warehouse, limited space). Shelf life risk: Product X expires in 6 months, now overstocked, may expire before sale. Over-ordering = $5–10k/year wasted capital + spoilage. (4) State-specific compliance — distributor ships nationally (NSW, VIC, QLD, etc.). GST rules: 10% standard, but (hypothetical but realistic) freight surcharge varies by state. Product X list $100, GST $10, total $110 NSW. Product X list $100, GST $10, freight surcharge NT +$50 (remote), total $160 NT. System should apply state rules automatically by customer postcode. Manual process: sales rep quotes $110 to NSW customer, $110 to NT customer (forgot surcharge). NT customer shocked: received invoice $160, expected $110 (thinks it's error). Disputes. Late payment. (5) Sales rep commission tracking — distributor pays reps 2% commission on orders closed. 50 sales reps, 51,000 orders/yr. Commission calc: per rep, per month, sum orders sold, apply 2% rate, generate commission statement. Manual: manager tallies Excel, 10 hrs/mo calculating commissions. Rep disputes: "I closed order INV-20260515-001, why is it under Rep B name?" Turns out: Rep A quoted, Rep B close-of-sale (processing order). Who gets commission? Unclear. Disputes = 2–3/mo, each costing 30 min manager time + rep goodwill damage. (6) Inventory visibility — customers can't see what's in stock. Customer ABC calls: "Do you have 50 units Product X in stock?" Distributor checks manually (search warehouse records, scan shelf, 10-min wait). "Yes, we have stock." Customer orders. But warehouse finds: only 30 units in stock (records outdated). Partial shipment sent (30 units, customer expected 50). Customer needs 50 to fulfill their order for their customer. Misses deadline. Calls distributor angry: "Why partial? I expected full 50." Customer goes to competitor next time.

Six Features Custom Platform Delivers

1. Unified Pricing Engine — Customer Tier Classification, Automatic Discount Application, Cost-Plus Margin Rules, Volume Discounts, State-Specific Adjustments, Competitor Price Monitoring

Custom system: [Pricing Manager]. Distributor configures: (1) Customer tiers: "Tier 1: Big-box restaurant chains (50+ locations, annual spend >$500k). Discount: 28%. Tier 2: Multi-location restaurants (5–20 locs, annual spend $100–500k). Discount: 20%. Tier 3: Small independent cafes/restaurants (1 loc, annual spend <$100k). Discount: 15%. Tier 4: One-off, spot buyers. Discount: 0% (list price). Tier 5: Retail stores (non-restaurant). Discount: 10%." (2) Cost-plus margins: "Base margin: 40% on cost. Tier 1 (high volume): margin compressed to 28% (incentive for volume). Tier 2: 35% margin. Tier 3+: 40% margin baseline." (3) Volume discounts: "Order $10k+: additional 5% discount. Order $25k+: additional 10% discount. Order $50k+: additional 15% discount (used by big-box chains for bulk annual orders)." (4) Product-level rules: "Product X (commodity, high competition): margin floor 25% (price can't go below cost × 1.25). Product Y (proprietary, low competition): margin floor 50% (protect margin, can price aggressively)." (5) State adjustments: "NSW standard 10% GST. VIC standard 10% GST. QLD remote freight surcharge: +$50 per order (remote regions defined by postcode ranges). NT remote surcharge: +$50–100 depending on postcode. Apply state surcharge auto-based on customer postcode." Customer logs into B2B portal: "Restaurant ABC (Tier 3, small independent). Order: 40 units Product X (cost per unit $15, list price $50/unit). System calculates: Base price = $50. Tier 3 discount: 15% = $50 × 0.85 = $42.50. Order value $42.50 × 40 = $1,700 (below $10k threshold, no volume discount). Freight: customer in Melbourne VIC, standard 10% GST applies. Subtotal: $1,700. GST: $170. Freight: standard (included in local rate). Total: $1,870. System displays quote to customer: '$1,870 for 40 units. Your tier: independent small cafe (15% discount applied). Breakdown: 40 units × $42.50/unit = $1,700 + GST $170 = $1,870. Order now?' Customer approves. System auto-generates invoice (PDF, emailed): 'Invoice INV-20260515-ABC. Restaurant ABC. 40 units Product X. Rate: $42.50/unit (Tier 3 pricing). Subtotal: $1,700. GST: $170. Total: $1,870. Inventory deducted immediately (40 units reserved). Fulfillment initiated.' Scenario 2: Big-box restaurant group XYZ (Tier 1, 80+ locations). Orders: 2,000 units Product X (annual bulk purchase). System calculates: List price $50/unit. Tier 1 base discount 28% = $36/unit. Order volume: 2,000 units = $72k total (exceeds $50k threshold, additional 15% volume discount applied). Price after volume discount: $36 × 0.85 = $30.60/unit. Subtotal: 2,000 × $30.60 = $61,200. Order spans 3 states: 800 units NSW, 1,000 units VIC, 200 units NT. GST calc: NSW 800 units × $36.12 = $28,896 + GST $2,890 = $31,786. VIC 1,000 × $36.12 = $36,120 + GST $3,612 = $39,732. NT 200 units (remote surcharge +$50/order applied to NT orders): 200 × $36.12 = $7,224 + surcharge $50 + GST ($7,224 + $50) × 10% = $726 = total $7,224 + $50 + $726 = $8,000. Combined total: $31,786 + $39,732 + $8,000 = $79,518. System displays quote: "XYZ Restaurant Group. 2,000 units Product X across 3 states. Your pricing: Tier 1 (big-box, 28% base discount) + volume discount 15% (orders >$50k) = 30% total discount off list. Subtotal: $70k. State surcharges (NT remote): +$50. GST: $7,468. Total: $79,518. Annual cost per location: ~$1,000 (2,000 units ÷ 80 locations ≈ 25 units/location/year). This pricing locks supply for year, guarantees $79.5k revenue, distributor margin: $79.5k cost approximately $40k to distributor (assuming $20/unit cost), margin $39.5k (50% — high-tier customer, volume incentive paid back). Value: pricing automated (no manual quote errors), consistency (same customer type always quoted same rate), margin protected (volume discounts pre-calculated so distributor never accidentally quotes below cost-plus floor), state compliance automatic (GST + surcharges applied per postcode, zero manual adjustment risk), competitor intelligence fed in (if competitor undercuts, distributor sees, can adjust margin floor or volume-discount trigger points).

2. Credit Management + Risk Mitigation — Customer Credit Limits, Real-Time Balance Tracking, Credit Hold Enforcement, Automated Dunning, Payment Terms (COD vs Net 30/60), Credit Score Integration

Custom system: [Credit Manager]. Distributor inputs: "Customer A (Restaurant): approved credit limit $50k, payment terms Net 30 (due within 30 days of invoice). Customer B (Cafe): approved $10k credit, COD (cash-on-delivery, paid at shipment). Customer C (Big-box): $200k credit, Net 60 (due within 60 days)." System enforces real-time. Sales rep quotes order: "Customer A wants to order $5k (Product X, Y, Z). Available balance?" System checks: "Customer A. Credit limit: $50k. Current outstanding: $47.2k. Available balance: $2.8k. Order request: $5k. EXCEEDS available balance by $2.2k. Action: HOLD ORDER. Options: (1) Customer pays $2.2k now (reduces outstanding to $45k, releases $5k order). (2) Reduce order to $2.8k (max available without exceeding limit). (3) Extend credit limit (manager approval required, credit assessment needed)." Sales rep notified: "Order blocked. Available credit insufficient. Recommend: contact customer to arrange payment, or request reduced order." Customer A arranges payment: pays $3k immediately (reduces outstanding to $44.2k, frees $5.8k available). Order now approved: "Available balance $5.8k, order $5k approved." System processes: "Customer A order $5k approved. Outstanding balance updated: $44.2k (paid) → $49.2k (new order) = within $50k limit. Invoice generated: due 30 days from today (Net 30 terms). Payment reminder sent automatically 25 days, 5 days before due date." Scenario 2: Customer B (COD, $10k limit). Orders $3k. System enforces: "COD terms apply. Shipment triggered. Payment due at delivery (COD flag in fulfillment system). Driver arrives with goods, customer pays cash/card. System logs payment automatically (POS integration or manual entry by driver). Balance updated: Customer B outstanding $3k (pending confirmation of cash receipt)." Scenario 3: Credit score integration. Customer D (new, no history): "Requests $5k credit. Credit limit not yet assigned." System checks: "Automatic credit assessment: pull Dun & Bradstreet credit score (AU equivalent, e.g., Creditsafe). Customer D score: 72/100 (moderate risk). Recommendation: approve $15k credit limit, Net 30 terms, with personal guarantee from director (if company size <10 employees). Alternative: offer COD terms until payment history builds (3–6 months, then reassess credit)." Manager approves. System sets: "Customer D: $15k credit limit, Net 30, personal guarantee required, auto-reassess after 12 months if payment history clean." Dunning automation: "Customer C (Net 60 terms). Invoice issued Mon, due Fri (Day 60). Fri due date passes. System auto-triggers: 'Invoice INV-20260515-C is 1 day overdue ($8.5k). Automated reminder email sent to customer contact + manager. Next reminder: 1 week overdue (escalation email).'" Week overdue: "Invoice 1 week overdue. Automated reminder escalates: email contact + AP manager. Add phone-call flag: manager calls on Mon if not paid." Two weeks overdue: "Invoice 2 weeks overdue. System flags: PAYMENT DISPUTE or cash-flow issue. Escalate to credit manager. Options: (1) negotiate payment plan ($2k now, $2.5k in 1 week, $3k in 2 weeks), (2) pause future orders until balance cleared, (3) refer to collections (last resort, damages relationship but recovers cash)." Credit manager calls Customer C: "Invoice now 14 days overdue. Everything OK? Any issues with the goods or service?" Customer C: "Cash flow tight this month. Can we do half payment now, half in 2 weeks?" Credit manager agrees: "$4.25k now, $4.25k due 2 weeks. We'll hold new orders until full payment received." System updates: "Payment plan: $4.25k scheduled now, $4.25k scheduled 2 weeks. New orders blocked until balance cleared. Automated reminders sent: Day 10 ($4.25k payment due reminder)." Value: credit risk automated (no over-limit orders shipped, prevents bad debt), cash flow protected (payment terms enforced, late payments escalated systematically), credit decisions data-driven (Dun & Bradstreet scores inform limits, not guesswork), dunning efficient (automated reminders + escalation saves 5–10 hrs/mo manager time = $200–400/mo labour saving).

3. B2B Customer Portal — Self-Service Ordering, Real-Time Inventory, Personalized Pricing, Order History, Invoices, Payment Links, Account Statements

Custom system: [Customer Portal]. Restaurant ABC logs in. Dashboard: "Welcome Restaurant ABC (Tier 3 pricing active). Your stats: 52 orders YTD ($41.6k spend). Last order: Thu 12 Jun. Available credit: $8.4k. Account statement: [opens full ledger, all invoices paid/outstanding, aging report]." Customer browses catalog: "Product X (list $50, your price $42.50 [Tier 3 discount shown], in stock 450 units)." Real-time inventory visibility. Customer clicks "Add to order": "Product X: Qty field 10 units → $425 subtotal. Continue shopping?" Customer adds: "Product Y (in-stock 200 units, your price $75): Qty 5 → $375. Product Z (OUT OF STOCK)." System alerts: "Product Z currently unavailable (backorder 8 Jun, expected restock 20 Jun). Add to wishlist and we'll notify you?" Customer adds to cart: Product X 10 units, Product Y 5 units. Cart total: $800 + GST $80 = $880. Credit check: available balance $8.4k, order $880 approved. Customer clicks "Place Order". System generates order: "Order INV-20260515-ABC-2. 10 Product X ($425) + 5 Product Y ($375) = $800 + GST $80 = $880. Due: Net 30 (30 days from shipment). Payment options: (1) Pay now [Stripe link], (2) Pay on invoice (Net 30 terms, auto-reminder emails)." Customer chooses "Pay on invoice". Order confirmed. System auto-initiates: "(1) Warehouse picks-pack goods. (2) System prints packing slip + shipping label. (3) Items shipped. (4) Tracking number sent to customer email. (5) Invoice generated + sent via email + uploaded to portal." Customer can: check order status in real-time ("Picked Wed 15 Jun 2pm → Shipped Wed 15 Jun 6pm via [carrier] [tracking #] → Delivered Thu 16 Jun 11am"). Access all past orders ("Show me all orders last 6 months"). Download invoices ("Invoice INV-20260515-ABC-2.pdf"). See payment status ("Paid/Due date [date]"). Portal also shows: "Recommended products for you (based on order history): You usually order Product X weekly. Next shipment due [date]. Order now? [Quick reorder button]." Reorder shortcut: Customer clicks "Reorder Product X (qty 10)" from last order. System auto-fills cart with last week's order (10 Product X + 5 Product Y). Customer submits. Order placed in 10 seconds (vs 5-min phone call before). Reporting: "Your top products: Product X (250 units YTD), Product Y (120 units). Spending by category: Beverages 45%, Dry goods 30%, Specialty 25%. YTD cost: $41.6k. Your margin (if you're a retailer): [if Customer ABC resells to their customers, system can show their margin if enabled]." Payment links: Whenever invoice due, email contains: "Invoice INV-20260515-ABC-2: $880 due 15 Jul 2026. Pay now: [Stripe payment link]. Pay partially: [enter amount, submit]. Payment history: [shows all past payments]." Customer clicks "Pay now", Stripe opens, customer pays $880 via card/bank transfer. System auto-confirms: "Payment received $880 on 15 Jul 2026, 2:15pm. Invoice marked paid. Receipt [download PDF]. Thank you!" Value: order-entry labour eliminated (customer self-serves, reps freed to focus on sales, not data entry), inventory visibility prevents miscommunication (customer sees real stock, no surprises), reorder friction reduced (quick-reorder 10 sec vs 5 min phone call × 50 orders/day = 4.2 hrs/day saved), payment collection faster (customer pays online, cash received instantly vs 5–10 day bank processing delay for cheques).

4. Sales Rep Mobile App — Quote Generation, Order Capture, Customer Management, Commission Tracking, Real-Time Inventory, CRM Integration

Custom system: [Rep Mobile App]. Sales rep (at customer site) pulls out phone. Opens app: "Rep Dashboard. My customers (10 active): Restaurant ABC (last order 12 Jun, $41.6k YTD spend), Cafe XYZ (last order 8 Jun, $15.2k YTD), […10 customers total]." Rep meets customer: "Hi, what do you need this week?" Customer: "Same as last week — 10 Product X, 5 Product Y, and throw in 8 Product Z if you have stock." Rep opens app: "Generate quote. Customer: Restaurant ABC. Products: [search "X" → Product X appears, auto-populated with Tier 3 pricing $42.50/unit → input qty 10 → subtotal $425]. [Add Product Y qty 5 → $375]. [Add Product Z → in-stock 200 units, price $65/unit × 8 = $520]." Cart total: $1,320 + GST $132 = $1,452. Credit check (app shows): "Available balance $8.4k, order $1.452k approved." Rep presses "Generate quote": "Quote GEN-20260515-ABC-3. Valid 2 hours. 10 Product X ($425) + 5 Product Y ($375) + 8 Product Z ($520) = $1,320 + GST $132 = $1,452. Your volume discount: 0% (order under $10k threshold). If you bundle another order this week (total $25k), you'll unlock 5% volume discount. Interested?" Customer: "Just these items. I'll take it." Rep presses "Confirm order". System auto-generates: "Order INV-20260515-ABC-3. Confirmed by Rep [name]. Customer acknowledged [timestamp, optional photo of customer with phone, digital signature]." System auto-triggers: (1) Warehouse picks order (notification sent to warehouse system). (2) System deducts inventory (40 units removed: 10 Product X, 5 Product Y, 8 Product Z). (3) Commission applied: Order $1,452 value. Rep commission: 2% = $29.04. System logs: "Rep commission $29.04 for order INV-20260515-ABC-3 (auto-calculated, no dispute, clear order attribution)." (4) Invoice sent to customer + rep. Rep app shows: "Order confirmed. Invoice sent. Your commission: $29.04. Monthly commission YTD: $1,456 (28 orders × ~$52 avg commission). Pace: on-track for ~$1,746/mo commission YTD." CRM integration: App shows customer history: "Restaurant ABC: 52 orders YTD, $41.6k spend, average order $800, avg order frequency 3.5 days. Account health: GOOD (payments on-time, growing spend). Notes: [previous rep notes: 'Owner James likes daily specials, mention new products first', 'delivery Thu preferred']. Next recommended order: Thu (based on 3.5-day avg pattern). Suggested items: Product X (usual), Product W (new related product, same category)." Rep uses insights: "I notice you usually order Thu. We've got new Product W in stock, similar to Product X but 10% cheaper. Want to try 5 units this week?" Customer: "Yeah, why not." Rep adds Product W to quote. Order value increases. Commission increases. Win-win. Real-time inventory: App shows current stock. "Product X: 450 units (after your order, 440 units remain — stock healthy, no issues). Product Z: 200 units (good stock, no stockout risk). Product Q: 20 units (LOW STOCK, 5-day supply remaining at current sell-through). Alert: Product Q reorder pending (expected 20 Jun). Mention to customer: Product Q might go out-of-stock 20 May if not ordered soon. Recommend: order Product Q now to secure supply?" Rep recommends to customer: "By the way, Product Q is running low. If you need it, I'd grab some now before it goes out-of-stock." Customer: "Good point, add 12 Product Q." Order value increases further. Rep commission increases. Offline mode: Rep visits remote customer (slow internet). App caches pricing + inventory data locally (syncs when connectivity returns). Quote generated offline. Customer confirms. App queues order (locally stored). When rep's phone reconnects to internet, app auto-syncs order to system. No data loss. Reporting: Rep dashboard shows: "My monthly commission: $1,456 YTD (Jan–Jun week of 15 Jun). Top customers by commission: Restaurant ABC ($580 YTD), Cafe XYZ ($420), […]. Top products by my commission: Product X ($380 YTD, 9.6% of my commission), Product Y ($350 YTD), Product Z ($280 YTD). Best performing order time: Thu evenings (highest closure rate, avg order $950). Rep performance tip: 'You close 85% of Thu evening quotes vs 60% average. Focus your visits Thu–Fri to maximize closure.' Commission leaderboard (optional): Your rank: 2nd among 50 reps. Top rep: Rachel (commission $2,100 YTD). Close gap: Rachel focused on high-margin products (Product X, Y). Try cross-selling high-margin items." Value: quote generation fast (30 sec vs 5 min manual call), order attribution clear (no commission disputes, reps motivated), rep insights available (customer history, inventory, recommended items → higher order values), commission transparency motivates reps (visible real-time commission, gamification element boosts productivity).

5. Supplier Reorder Automation + Inventory Forecasting — Stock Level Monitoring, Reorder Point Triggers, PO Auto-Generation, Lead-Time Tracking, Stockout Prevention, Supplier Performance Analytics

Custom system: [Inventory Manager]. Distributor inputs: "Product X: supplier [Supplier A], cost $12/unit, MOQ (min order qty) 200 units, lead time 5 days. Current stock: 450 units. Average daily sales: 20 units. Safety stock: 150 units (7-day buffer before stockout). Reorder point: 300 units (15-day supply: means when stock hits 300, order 500 units, delivery arrives in 5 days at ~100 units consumed = inventory when arrival = 300 - 100 + 500 = 700 units, healthy). Stock cap: 800 units (warehouse space limit)." System monitors daily. Day 1 stock: 450 units (normal). Day 2 stock: 430 units (sold 20, within range). Day 3 stock: 410 units. Day 10: stock trending down, current 250 units (sold 200 over 10 days, rate ~20/day). System calculates: "Stock 250 units. Reorder point 300 units. BELOW reorder point. Days to stockout: 250 ÷ 20/day = 12.5 days. Lead time: 5 days. Window: only 7.5 days to reorder before risk. System alerts: 'Product X approaching reorder point. Recommend: order now. PO generated pending approval.'" System auto-generates PO: "Purchase Order PO-20260515-001. Supplier: Supplier A. Product: Product X, qty 500 units, cost $12/unit, total $6,000. Required delivery: 20 Jun (5-day lead time, current stock consumed at 20/day = 250 - 100 = 150 units remaining at arrival, +500 = 650 units, healthy inventory). Terms: Net 30, 2% early-pay discount." Manager reviews auto-PO: "Stock 250 units, reorder point 300, PO recommends 500-unit order. Approve?" Manager clicks "Approve". System: (1) PO sent to Supplier A (email + EDI integration if available). (2) System records: "PO-20260515-001 sent 15 Jun, expected delivery 20 Jun. Inventory forecasted to be 650 units on arrival (250 current - 100 consumed + 500 delivered)." (3) System tracks: PO open, awaiting delivery. Supplier A confirms receipt: PO received, will deliver 20 Jun as requested. Distributor receives goods 20 Jun: 500 units Product X. Warehouse logs: "Stock received 20 Jun, 500 units, verified against PO." System updates: stock 250 → 750 units. Scenario 2 (demand spike): Sales spike Wed (unusual demand). Day 15 sales: 50 units (vs normal 20/day). Stock 250 - 50 = 200 units. System recalculates: "Stock 200 units, sales increased to 50/day (spike detected via moving average). Days to stockout: 200 ÷ 50 = 4 days. Lead time: 5 days. CRITICAL: demand surge exceeds lead time. Stockout risk within 4 days. Action: (1) Expedite reorder (call Supplier A, request 3-day delivery instead of 5, rush fee ~5%). (2) Allocate available stock (if demand >supply, prioritize high-volume customers, ration to others)." Manager escalates: calls Supplier A. "Product X demand surge, usual 20/day, now 50/day. Can you ship 300 units in 3 days instead of 5? Willing to pay rush fee $300 (~5% of order)." Supplier A: "Yes, can do 3-day expedite. $300 rush fee. Agreed?" Manager: "Confirmed." System updates: "PO-20260515-002 expedited, 300 units rush fee $300, expected delivery 18 Jun (3 days). Total Product X inbound: 500 units (20 Jun standard) + 300 units (18 Jun rush) = 800 units next week." System prevents stockout: goods arrive 18 Jun, stock reaches 200 + 300 = 500 units (demand continuing 50/day, stock +50 units buffer, manageable until 20 Jun arrival). Scenario 3 (overstock): Product Y, low-moving item, aging stock. "Current stock: 800 units. Average daily sales: 5 units. Days supply: 160 days. Shelf life: 180 days. Stock cap: 600 units. Recommendation: EXCESS STOCK. Reduce price 15% to accelerate sell-through. Variant: offer 'bulk flash sale' (5% discount on 50-unit+ orders) to retailers, move excess in 2 weeks." Manager approves bulk flash sale. System triggers: "Flash sale (Thu–Sun): Product Y, 5% extra discount on 50+ units. Notify customers." Sales spike. Stock moves from 800 → 500 in 1 week. Inventory optimized. Supplier analytics: System tracks supplier performance: "Supplier A: 50 POs YTD, 48 delivered on-time (96% on-time rate), 2 late (by 1–2 days), zero quality issues. Lead time: consistently 5 days (reliable). Pricing: competitive vs Supplier B ($12.20/unit, +1.7% vs A). Recommendation: Supplier A preferred, solid partner, continue 70% of orders. Supplier B: use 30% (maintain diversity, if Supplier A has supply issue, Supplier B backup). Cost savings opportunity: bulk contract (commit 5,000 units annually from Supplier A, negotiate $11.50/unit = $2.5k/yr savings)." Manager negotiates bulk contract with Supplier A. Cost $11.50/unit vs $12/unit current = $0.50/unit × 5,000 units = $2.5k annual savings. Value: reorder automation prevents stockouts (zero lost sales due to stock-outs, inventory fill-rate 98%+), inventory optimized (avoid overstock → excess capital tied up, spoilage prevented), cost optimized (bulk contracts, supplier performance analytics → $2.5k/yr savings identified). Labour saved: manual stock-counting + reorder planning ~3 hrs/week × 52 weeks × $30/hr = $4,680/yr labour saved.

6. State Compliance + GST Automation — GST Calculation per State, Freight Surcharge Rules (Remote Regions), Tax Invoice Compliance, Audit Trail for ATO

Custom system: [Compliance Manager]. Australia-wide distributor ships to NSW, VIC, QLD, SA, WA, TAS, ACT, NT. GST rule: standard 10%, applies universally. But freight surcharges (state-specific example): "QLD remote regions (far north, islands): +$50 freight surcharge. NT remote regions: +$75 surcharge. Interstate freight NSW→WA: +$100 (long-distance). Same product, different state, different total cost." System configured: "GST: 10% standard (national). Freight surcharge rules: [QLD postcode 4800–4899 (Cairns/North QLD) = +$50 surcharge], [NT postcode 0800–0899 = +$75 surcharge], [WA postcode 6700–6799 (remote WA) = +$60 surcharge]. All other postcodes: standard freight (included in base price)." Customer order placement: "Product X ($100 list), customer postcode 4810 (Cairns QLD). System calculates: (1) Discount tier applied (Tier 3, -15% = $85). (2) GST (10% = $8.50). (3) Freight surcharge (postcode 4810 = QLD remote, +$50). Total: $85 + $8.50 + $50 = $143.50." Invoice generated automatically: "Invoice INV-20260515-Cairns. Description: Product X. Subtotal: $85. GST: $8.50. Freight surcharge (remote region QLD): $50. Total: $143.50. [Tax invoice format compliant with ATO requirements: ABN, ACN, invoice number, date, customer details, itemized line items, GST-inclusive total]." Same product, Sydney customer (postcode 2000 NSW, non-remote): "Product X ($100 list), Tier 3 discount -15% = $85, GST 10% = $8.50, no freight surcharge (standard NSW). Total: $93.50. Invoice: $93.50 (vs Cairns $143.50)." System ensures compliance: (1) Tax invoices formatted per ATO requirements (supplier ABN, invoice number unique + sequential, invoice date, customer name + address, description of goods, unit price, qty, total, GST amount, payment terms). (2) Audit trail: Every transaction logged with timestamp, user, amount, GST component, customer postcode (state rule applied). System exports: "Compliance report Jan–Jun 2026. Total invoices: 51,000. Total GST collected: $4.2M (10% of $42M sales). GST by state: NSW $1.8M (43% of sales), VIC $1.2M (29%), QLD $0.9M (21%), other $0.3M (7%). Freight surcharges applied: QLD remote $125k (2,500 invoices × $50 avg), NT remote $60k (800 invoices × $75 avg). ATO audit log: 100% compliance. Zero disputed invoices. Zero GST misalculations. [Export audit log for ATO request if audited]." Scenario: ATO audit inquiry arrives. "Distributor: selected for random audit, 6-month sample (Jan–Jun 2026). Request: provide all tax invoices, GST calculations, supporting documents, freight surcharge justification." Distributor exports from system: "ATO audit package: [51,000 invoices, each listing customer postcode, applicable freight rule, GST calc, date, amount]. Freight surcharge log: [2,500 QLD remote invoices, 800 NT invoices, postcode proof showing customer in declared remote region]. Summary: $4.2M GST collected, fully documented, all compliant." ATO auditor reviews: "100% accuracy. No errors. No underreporting. Audit closed, no penalties." Value: compliance automated (GST calculated correctly every time, zero underpayment risk, zero ATO audit risk), state rules enforced (freight surcharges applied consistently, customer charged correctly), audit-ready documentation (system generates ATO-compliant audit trail, saves 20 hrs compliance work if audited, $800 cost avoidance).

Australian Context: GST, ACL (Australian Consumer Law), ASBFR (Australian Small Business Fair Dismissal Rules), Bulk Email Compliance

B2B distributor regulations in Australia: (1) GST: Any business with turnover >$75k/yr must register for GST, charge 10% on most goods. Custom system ensures every invoice GST-correct, no underpayment risk. (2) ACL (Australian Consumer Law): applies to all goods sold (quality, fitness for purpose, safety). If customer disputes quality, distributor liable. Custom system tracks product returns (reasons: defective, qty wrong, wrong product). Example: "Return INV-20260515-ABC-3. Product Z qty 8. Reason: damaged goods (2 units). Refund: 2 units × $65 = $130. Approved." System auto-generates credit note + refund. (3) Bulk email compliance (Privacy Act, Spam Act): Distributor can't bulk-email customers without consent or existing business relationship. Custom system: email opt-in managed. "Send promotional email to Product X customers?" System checks: "Recipients: 300 customers with recent Product X orders. All have email + implicit consent (existing customer). OK to send. [Send email]." (4) Tax invoice requirements (ITAA 1997, Division 153): must show ABN, invoice number, date, description of goods, total amount, GST separately stated. Custom system auto-formats all invoices compliant. Value: regulatory compliance built-in (zero GST risk, zero ACL dispute complications, email compliance maintained).

Wholesale Distributor ROI: 1,050 Customers, 18-Month Breakeven

Current revenue: 51,000 orders/yr × avg $850/order = $43.35M gross sales, ~$6.5M net margin (15% net, typical wholesale). Current pain: (1) Manual order entry (sales rep phone quotes, 5–10 min per order, 51k orders × 7.5 min = 6,375 hrs/yr ÷ 2,000 work hrs = 3.2 FTE coordinators = ~$180k/yr labour). (2) Pricing errors (5–10% margin leakage = $325–650k/yr lost profit). (3) Credit risk (3–5 bad-debt incidents/yr × $5k avg = $15–25k/yr loss). (4) Stockouts (lost sales 2% of orders = 1,020 orders × $850 = $867k revenue lost, margin ~$130k/yr lost). (5) Supplier inefficiency (overstock spoilage, overordering = $50–100k/yr waste). (6) Manual commission calc + disputes (10 hrs/mo × 12 × $30/hr = $3.6k/yr labour). Custom system cost: $120k build (pricing engine, credit module, B2B portal, mobile app, inventory automation, compliance). Year 1 ops: $8k/yr (hosting, APIs, support). Total Year 1: $128k. Value captured: (1) Eliminate order-entry labour: 3.2 FTE saved = $180k/yr. (2) Eliminate pricing errors: margin recovery = $487.5k/yr (mid-range $325–650k). (3) Credit risk reduction: assume 50% improvement (reduce bad debt from $20k to $10k) = $10k/yr saved. (4) Stockout prevention: capture 1% (conservative) of lost margin = $65k/yr (half of 2% stockout rate). (5) Supplier efficiency: overstock waste reduction 30% = $25k/yr. (6) Commission automation: 1.2 hrs/mo labour saving × 12 × $30/hr = $432/yr. Year 1 value: $180k + $487.5k + $10k + $65k + $25k + $432 = $767.9k. Year 1 net: $767.9k - $128k = $639.9k profit. ROI: payback Month 2 (breakeven after 2 months). Year 2: repeat value ($767.9k) minus ops ($8k) = $759.9k profit. Conservative model: account for 10% effectiveness variance (not all margin leakage captured, not all stockouts prevented). Year 1 value conservative: $767.9k × 0.9 = $691k. Year 1 net conservative: $691k - $128k = $563k profit. Payback: Month 2–3. Want to audit wholesale margins + margin leakage for your distributor? Check platform pricing or book a call—we'll integrate unified pricing (tiers, volume discounts, state rules), B2B portal (self-serve ordering, real-time inventory, payment collection), sales rep app (instant quotes, commission tracking), credit management (credit limits, dunning automation), inventory automation (reorder triggers, stockout prevention, supplier management), and GST compliance (state rules, ATO audit trail) to unlock $400–700k margin improvement annually.

Six FAQs

How does the system prevent pricing inconsistency when multiple sales reps quote the same customer?

Centralized pricing rules: distributor inputs tier definitions (Tier 1 = -28%, Tier 2 = -20%, etc.). Every quote generated by any sales rep pulls these rules (not rep's manual judgment). Example: Rep A quotes Restaurant ABC (Tier 3) Product X ($50 list) = $42.50 ($50 × 0.85 discount). Rep B quotes same customer same product = $42.50 (identical, rule-based). If Rep A manually typed $46 "by mistake", system would flag: "Manual price $46 exceeds system rule $42.50. Discount rate 8% vs expected 15%. Override approved? Y/N." Prevents rogue discounts. If override approved (manager decision), audit trail logs it (who, when, why). Result: zero pricing inconsistency, all quotes compliant with tier rules, no competitor undercut surprises.

Can the system integrate with accounting software (MYOB, Xero) for automated invoice reconciliation?

Yes. System integrates via API: every invoice generated (INV-20260515-ABC) auto-syncs to Xero/MYOB within 1 hour. Xero receives: invoice number, date, customer, line items, GST amount, amount due. Xero posts as Accounts Receivable entry. When customer pays (via portal), system marks invoice "paid". Payment syncs to Xero (auto-reconciles bank deposit). Result: zero manual data entry in accounting, Xero always current, cash flow reporting real-time (know outstanding receivables instantly). Reduces month-end reconciliation time by 80%.

What happens if a customer exceeds their credit limit mid-order (e.g., placed $3k order, payment pending, attempts $2.5k order before first invoice paid)?

Real-time balance tracking. Customer balance updated only when payment received or invoice issued (depending on payment terms). Scenario: Customer approved $10k credit. Placed $3k order Wed (invoice issued, outstanding $3k, available balance $7k). Places $2.5k order Thu (before Wed payment). System checks: "Available balance $7k, order $2.5k approved." Places $5k order Fri (balance now $7k - $2.5k = $4.5k available, order $5k requested). System blocks: "Available balance $4.5k, order $5k exceeds by $500. Hold order. Customer must pay $500 of Wed invoice OR reduce order to $4.5k. Pending..." If customer pays $500 (partial payment), balance updates, order released. If reduces order to $4.5k, order released. Prevents over-limit orders.

How does mobile app work offline or in low-connectivity areas (regional Australia)?

App uses local caching. Before leaving office, rep downloads: (1) customer list (name, contact, pricing tier), (2) product catalog (description, price, stock quantity snapshot), (3) order history (recent orders for reference). Rep visits regional customer (spotty internet). App works offline: quote generation uses cached data (pricing, stock snapshot). Order placed offline (stored locally on phone). When rep returns to town (connectivity resumes), app syncs: order uploads to system, inventory deducted, invoice generated. If stock quantity changed (another rep sold product while offline), sync may flag: "Stock mismatch: cached 100 units, actual 60 units. Order qty 50 requested. Approved (within actual stock)." No data loss, conflicts resolved gracefully.

Can the system handle B2B2C (distributor → reseller → end customer) pricing tiers?

Yes, with multi-level markup rules. Example: Distributor sells to Reseller ABC (Tier 1, -28% discount). Reseller ABC resells to end-customer XYZ. System configured: "Reseller ABC: cost from distributor $36/unit (list $50 × -28%). Reseller markup: 50% (cost-plus pricing). Reseller sells to XYZ: $36 × 1.5 = $54/unit (markup 50%). Reseller ABC portal shows: 'Your cost: $36, your price to customers: $54, your margin: $18/unit (50%).' Reseller ABC can override per customer (e.g., volume discount: sell 100 units at $50/unit instead of $54). System tracks: override logged, reseller margin reported (transparency, reseller knows they're giving away $4/unit on volume deals). Distributor sees: reseller maintaining healthy 40%+ margin (not discounting into loss), system flags if reseller discounts below cost (prevents channel conflict, protects distributor margin)."

How does the system calculate commission when a rep shares a customer relationship with another rep (e.g., co-selling)?

Commission split rules configured: "If 2 reps involved (e.g., Rep A brought customer, Rep B closed sale), commission split 60/40 (Rep A account owner 60%, Rep B closer 40%). If 3 reps (e.g., inside sales + outside sales + account manager), split 40/35/25. Order placed with attribution: Rep A (account owner) + Rep B (closer) tagged. Commission: $1,450 order × 2% = $29 total commission. Rep A: 60% × $29 = $17.40. Rep B: 40% × $29 = $11.60. Both auto-credited (no disputes, clear rules)." Custom splits per customer (e.g., high-value accounts: account manager owns 70%, rep 30%). Ensures fairness, eliminates commission arguments.