Below is a 12-month supply-chain optimization system built specifically for your $5.8M DTC pet-food business. The central objective is to move gross margin from 41% toward 52%, which means recovering roughly 11 percentage points of margin without damaging customer retention or service levels. The key is not to look for one 11-point saving. I would build a margin-recovery portfolio across ingredients, co-manufacturing, packaging/freight, pricing, SKU mix, and inventory. --- 1. SUPPLY CHAIN AUDIT AND ASSESSMENT 1.1 Current-state supply-chain map Your current flow is approximately: 4 protein suppliers → Colorado co-manufacturer → finished-goods inventory → 3PL / Amazon FBA → Shopify customers + Amazon customers There are several margin interfaces where costs can accumulate: Stage Primary cost Main question Protein sourcing Meat/protein ingredients Are we paying market-competitive prices? Other ingredients Supplements, grains/vegetables, additives Which ingredients have inflated disproportionately? Inbound freight Supplier → co-man Are freight terms optimized? Manufacturing Conversion/co-man fees Has the co-man passed through legitimate increases? Packaging Bags, labels, cartons Are packaging specifications unnecessarily expensive? Finished freight Co-man → 3PL/FBA Are shipment sizes/frequency optimized? 3PL Storage + pick/pack Are fees aligned with actual volume? Amazon FBA fulfillment + storage + referral fees Which SKUs/channels have unfavorable economics? Returns/waste Refunds, damaged goods, expiration Where is margin leaking? First principle Do not start by asking: > "How do we get suppliers to reduce prices?" Start with: > "What is the true landed cost and contribution margin of every SKU by channel?" You need a SKU × channel profitability model. --- 1.2 Cost-driver identification Build a cost waterfall for every SKU: Net selling price − discounts/promotions − Amazon/Shopify fees − fulfillment − outbound freight − 3PL fees − finished-product cost − ingredients − packaging − co-manufacturing − inbound freight = Contribution margin Then rank costs by: 1. Total annual dollars 2. Percentage of revenue 3. Percentage increase over 18 months 4. Supplier concentration 5. Negotiation potential 6. Customer impact if changed Your protein ingredients should receive the highest priority because you've identified them as the major inflation source. --- 1.3 Lead-time analysis Create a supplier lead-time database: Supplier Ingredient Contract LT Actual LT Variability MOQ Price A Chicken 14d 18d ±6d 2,000 lb $X B Beef 21d 27d ±9d 3,000 lb $X C Turkey 14d 16d ±4d 2,500 lb $X D Fish 28d 35d ±12d 1,500 lb $X Track: Average lead time Median lead time 95th-percentile lead time MOQ Fill rate Price volatility Defect/rejection rate Forecast flexibility Don't optimize inventory using average lead time alone. --- 1.4 Inventory health assessment Classify finished goods into: Healthy Within target coverage Strong sales velocity No expiration concern Excess Above target days of supply Slow-moving Low weekly velocity At-risk Approaching expiration Low velocity Excess inventory Dead stock No meaningful sales for a defined period For pet food, expiration/aging deserves special attention because excessive inventory isn't simply a financing problem—it can become an obsolescence and quality problem. --- 1.5 Supplier performance evaluation Score suppliers quarterly: Metric Weight Cost competitiveness 25% On-time delivery 20% Fill rate 15% Quality 20% Lead-time reliability 10% Responsiveness 5% Flexibility 5% Use: Supplier Score = Σ(metric score × weight) Create three classifications: 90–100: strategic 75–89: approved <75: corrective action / replacement evaluation --- 1.6 Ten supply-chain risk types Build a risk register covering: 1. Supplier concentration 2. Protein commodity-price volatility 3. Co-manufacturer dependency 4. Quality/food-safety failure 5. Regulatory/compliance risk 6. Transportation disruption 7. Packaging availability 8. Demand volatility 9. Inventory/expiration risk 10. Single-channel/customer concentration Your biggest structural risk is particularly obvious: > One co-manufacturer + four protein suppliers. The single co-manufacturer is a major continuity risk even if its pricing is currently acceptable. --- 2. SUPPLIER RELATIONSHIP AND SOURCING STRATEGY 2.1 Supplier segmentation Use four categories. Strategic High spend + high supply risk. Examples: Primary chicken/protein supplier Critical ingredients with limited alternatives Action: executive relationship, contracts, joint forecasting. Leverage High spend + multiple alternatives. Action: competitive bidding and volume negotiation. Bottleneck Low spend + high supply risk. Action: qualify alternatives and maintain safety stock. Tactical Low spend + low risk. Action: simplify purchasing and automate replenishment. --- 2.2 Your sourcing strategy For protein ingredients, avoid relying on one negotiation mechanism. Use a dual-track strategy: Track A — Renegotiate current suppliers Ask for: Volume-tier pricing Annual commitment discounts Longer-term agreements Price-index mechanisms Freight concessions MOQ reductions Payment-term improvements Rebates Quarterly volume incentives Track B — Build competitive alternatives You currently have four domestic protein suppliers. Over 12 months, develop: 2 qualified sources for every strategically important protein. Don't immediately shift volume. Instead: 100% incumbent → 80/20 qualification split → 70/30 or 60/40 if economics and quality support it. This gives you negotiation leverage while maintaining continuity. --- 2.3 Protein negotiation framework Don't approach suppliers with: > "Your prices are too high." Instead provide a structured RFQ. Request: Current price Price by volume tier MOQ Lead time Capacity Payment terms Freight terms Annual rebate Price-adjustment mechanism Contract pricing Emergency capacity Quality specifications Then compare landed cost, not quoted price. Example Supplier A: $4.20/lb + $0.30 freight = $4.50 Supplier B: $4.35/lb + $0.08 freight = $4.43 Supplier B is actually cheaper despite the higher quoted price. --- 2.4 Supplier development For your top suppliers establish: Monthly operational review Discuss: Forecast Actual demand Upcoming promotions Capacity Price movements Quality Delivery performance Risks Give suppliers a rolling: 13-week forecast with: Weeks 1–4 = firm Weeks 5–8 = committed/expected Weeks 9–13 = forecast This can improve supplier planning and give you leverage to request better pricing. --- 2.5 Co-manufacturer strategy Your co-manufacturer deserves its own cost audit. Request a transparent breakdown: Labor + overhead + ingredients + packaging + production loss + setup/changeover + margin + freight Analyze: Conversion cost per unit Batch size Changeover cost Production yield Scrap Labor increases Line utilization Minimum run quantities Then ask: > "What changes to batch size, production scheduling, packaging format or forecast visibility would reduce your conversion cost?" That can be more productive than simply demanding a lower manufacturing fee. --- 2.6 Backup co-manufacturer During the next 12 months: Qualify at least one backup co-manufacturer. You don't necessarily need to move production. The objective initially is: qualified + audited + specification-compatible + capacity-verified rather than immediately transferring volume. --- 3. INVENTORY OPTIMIZATION SYSTEM 3.1 ABC analysis Rank the 22 SKUs by annual contribution: Annual usage value = annual units × unit cost Then: A = top ~70–80% of value B = next ~15–20% C = remaining ~5–10% But don't stop there. Because this is pet food, add a second dimension: ABC × velocity × expiration risk A low-dollar SKU can still be operationally dangerous if it expires quickly. --- 3.2 Safety stock A practical approach: If demand and lead time are relatively stable: Safety Stock = Z × σ(demand during lead time) For variable demand and lead time, use: SS = Z × √[(LT × σd²) + (D² × σLT²)] Where: Z = service-level factor LT = average lead time σd = demand variability D = average daily demand σLT = lead-time variability Use higher service levels for your most important A SKUs. --- 3.3 Reorder point ROP = average demand during lead time + safety stock Example: Daily demand = 100 units Lead time = 14 days Safety stock = 500 ROP: 100 × 14 + 500 = 1,900 units When available inventory reaches ~1,900 units, trigger replenishment. --- 3.4 Inventory targets Establish SKU-specific: Minimum stock Maximum stock Safety stock Reorder point Target days of supply Don't use one blanket inventory target for all 22 SKUs. --- 3.5 Dead-stock liquidation Create a monthly aging report: Age Action 0–60 days Normal 61–120 Monitor 121–180 Promotion 181–270 Aggressive clearance 270+ Liquidate/rework/donate where appropriate For pet food, prioritize sell-through before expiration over protecting nominal gross margin. --- 3.6 SKU rationalization For each SKU calculate: Revenue contribution Gross margin Contribution margin Velocity Inventory turns Amazon profitability Shopify profitability Complexity cost Then classify: Grow High demand + attractive economics. Fix High demand + poor margin. Maintain Stable economics. Rationalize Low demand + poor economics. Your 22 SKUs are small enough that you should be able to perform this analysis manually at first. --- 3.7 Inventory carrying-cost reduction Target: Larger production runs where justified Better demand forecasting Lower safety stock on stable C SKUs More frequent replenishment where economically viable Reduced finished-goods days Better supplier lead-time reliability But don't simply slash inventory. Your objective is: > lower inventory while maintaining target service levels. --- 4. DEMAND FORECASTING AND PLANNING 4.1 Demand signals Combine: Shopify historical sales Amazon sales Subscription/repeat purchase behavior Promotions Advertising spend Price changes Seasonality New customer acquisition Customer retention Reviews Stockouts Promotions Holiday periods Importantly, don't treat stockout periods as true demand. If you had 500 units of demand but only 300 units available, your historical sales show 300—not 500. --- 4.2 Forecasting method With only 22 SKUs, use a relatively simple hierarchy: Baseline forecast → historical trend → seasonality → promotions → marketing plans → pricing changes → known launches Forecast: 13 weeks operationally and: 12 months strategically. --- 4.3 Promotional planning Every promotion should have an inventory signal. Before approving a major campaign: Expected incremental units × lead time + safety stock must be checked against available inventory. Marketing shouldn't surprise operations. --- 4.4 New product launches Use a staged inventory approach: Launch Conservative initial production. Weeks 1–4 Measure actual velocity. Weeks 5–8 Adjust forecast. Weeks 9–12 Move toward normal inventory policy. Avoid producing enormous quantities based solely on optimistic launch forecasts. --- 4.5 Excess & obsolescence prevention Create an E&O review every month. For each SKU ask: 1. What is current inventory? 2. What is forecast demand? 3. What will expire first? 4. How much inventory is committed? 5. What promotions are available? 6. Should production be reduced? 7. Should the SKU be rationalized? --- 4.6 S&OP system For your $5.8M business, you don't need a giant corporate S&OP bureaucracy. Use a monthly 60–90-minute meeting: Week 1 — Demand review Marketing + sales + operations. Week 2 — Supply review Procurement + co-manufacturer + logistics. Week 3 — Financial review Finance + leadership. Week 4 — Executive S&OP Approve: Demand plan Production plan Procurement Inventory targets Capacity Risks Cash requirements --- 5. LOGISTICS AND FULFILLMENT OPTIMIZATION 5.1 Carrier strategy Don't evaluate carriers only on quoted freight rate. Evaluate: Total delivered cost including: Base freight Fuel surcharge Residential surcharge Oversize Minimum charges Accessorials Claims Delivery performance Run a competitive RFQ at least annually. --- 5.2 Freight reduction Analyze: Cost per order Cost per unit Cost per pound Cost per shipment Cost as % of revenue Then examine: Shipment consolidation Pallet utilization Case dimensions Packaging density Shipment frequency Regional inventory Zone optimization --- 5.3 3PL optimization Request a complete 3PL fee schedule: Receiving Storage Pick/pack Per-order fees Kitting Returns Labeling Special handling Account fees Then calculate: Total fulfillment cost / order by channel and SKU. --- 5.4 Amazon vs Shopify profitability This is especially important. Calculate contribution margin separately: Amazon Revenue − referral fee − FBA fulfillment − storage − advertising − product cost − freight = contribution Shopify Revenue − payment processing − 3PL − shipping subsidy − advertising − product cost = contribution You may discover that the same SKU has substantially different economics depending on channel. --- 5.5 Returns Track: Return rate × SKU × reason Separate: Customer changed mind Damaged Incorrect item Quality issue Delivery problem If quality-related returns are concentrated in one SKU, investigate immediately. --- 5.6 International logistics If you expand internationally later, evaluate: Regulatory requirements Animal-food import rules Ingredient restrictions Customs Duties Shelf life Local warehousing Label requirements Product registration Don't expand internationally before the domestic supply chain has predictable economics. --- 6. SUPPLY-CHAIN RESILIENCE ROADMAP 6.1 Risk matrix Use: Risk score = Probability × Impact Score each 1–5. Example: Risk Probability Impact Score Protein price spike 5 5 25 Co-man disruption 3 5 15 Supplier failure 3 5 15 Quality recall 2 5 10 Freight disruption 3 3 9 Packaging shortage 3 3 9 Your highest scores become the first mitigation projects. --- 6.2 Business continuity Create documented playbooks for: Protein shortage Alternative supplier → approved specification → emergency allocation. Co-man shutdown Backup co-man → production transfer → inventory prioritization. Transportation disruption Alternative carrier → shipment consolidation → customer prioritization. Quality event Lot traceability → quarantine → recall protocol → customer communication. --- 6.3 Nearshoring / reshoring Because your protein suppliers are already domestic, your major sourcing question isn't necessarily offshore vs domestic. Instead evaluate: domestic supplier diversification vs geographic concentration. For critical proteins, avoid having all qualified suppliers dependent on the same geographic or commodity exposure. --- 6.4 Technology investment At $5.8M revenue, don't immediately buy a massive enterprise supply-chain system. Your minimum technology stack should provide: SKU-level inventory Purchase orders Supplier lead times Demand forecast Production planning Inventory aging Landed cost Channel profitability A well-designed spreadsheet/database can work initially. The next technology investment should be justified by: hours saved + inventory reduction + margin improvement + stockout reduction. --- 7. YOUR 12-MONTH MARGIN-RECOVERY ROADMAP This is the most important part. Months 1–2 — Diagnose Build: SKU-level landed-cost model for all 22 SKUs. Analyze: Ingredient cost Packaging Co-man Freight 3PL Amazon Shopify Advertising Contribution margin Also: Supplier spend analysis Protein price benchmarking Inventory aging Supplier scorecards Channel profitability Target outcome Know exactly where every gross-margin dollar is going. --- Months 2–3 — Supplier negotiation Run a competitive protein RFQ. Negotiate: Volume discounts Rebates Contract pricing Freight Payment terms MOQ Price-indexing At the same time begin qualifying alternative suppliers. Target Seek approximately 3–5 percentage points of margin recovery from sourcing and manufacturing initiatives. Not all of this needs to come from headline ingredient price reductions. --- Months 3–5 — Alternative sourcing Qualify: Second source for critical proteins Additional supplier capacity Backup co-manufacturer Begin controlled allocation where appropriate. Objective Turn: "We have suppliers" into: "We have competitive, qualified supply options." --- Months 4–6 — SKU economics Perform SKU rationalization. Identify: High-volume / low-margin SKUs These are particularly important. If a product is selling strongly but has a 30% margin while another has 50%, fixing the high-volume product can create much greater financial impact than eliminating a tiny SKU. --- Months 5–7 — Pricing You need to address the remaining margin gap through pricing. But avoid a blanket increase without segmentation. Consider: Core products: modest increase Premium products: stronger increase if value supports it Low-margin/high-volume SKUs: priority correction Bundles: redesigned price architecture Subscriptions: carefully structured increase Promotions: reduce unnecessary discounting --- 8. VALUE COMMUNICATION FOR THE PRICE INCREASE Don't frame the customer communication around: > "Our costs increased 35%." Instead communicate the value of the product: Ingredient quality Protein sourcing Nutritional formulation Quality controls Manufacturing standards Convenience Product consistency Customer/pet outcomes where substantiated Your objective is for the customer to understand: Why this product is worth its new price. Avoid making unsupported health or nutritional claims. --- 9. THE 11-POINT MARGIN BRIDGE I would manage the entire project through a margin bridge. Your starting point: 41% gross margin Illustrative target architecture: Initiative Potential contribution Protein sourcing +3–5 pts Other ingredient optimization +1–2 pts Co-manufacturing improvement +1–2 pts Packaging/freight/3PL +1 pt SKU/channel mix +0.5–1.5 pts Pricing +3–5 pts Total opportunity ~9.5–16.5 pts These are planning ranges, not guaranteed savings. Your actual results should be determined after the SKU-level cost audit. The key is diversification. You don't want the business plan to depend on: > "We need suppliers to cut prices by 20%." Instead: Sourcing + manufacturing + logistics + mix + pricing collectively restore the economics. --- 10. SUPPLY-CHAIN KPI DASHBOARD Your executive dashboard should contain approximately 15–18 metrics. Financial Gross margin % Contribution margin % Landed product cost/unit Ingredient cost/unit Freight % of revenue Supplier Supplier OTIF Fill rate Quality rejection rate Average lead time Lead-time variability Price variance Inventory Inventory value Days of supply Inventory turns Stockout rate Dead/slow inventory % Expiration exposure Customer Order fill rate On-time delivery Return rate --- 11. THE MANAGEMENT SCORECARD I'd put these six numbers at the very top of your weekly leadership dashboard: KPI Current 12-month objective Gross margin 41% 52% Ingredient cost/unit Baseline ↓ Inventory days Baseline ↓ Stockout rate Baseline <2% Supplier OTIF Baseline >95% Contribution/order Baseline ↑ And add one critical financial metric: Margin recovered vs plan For example: Target: +11 points Recovered: +4.2 points Gap: 6.8 points This prevents the project from becoming a collection of disconnected procurement initiatives. --- 12. THE OPERATING RHYTHM Weekly Supply-chain war room — 30 minutes Review: Stockouts Supplier problems Protein pricing Production schedule Inventory risks Amazon/3PL issues Monthly Margin review — 60 minutes Review: Actual vs standard cost Supplier price changes SKU profitability Freight 3PL Amazon economics Pricing Margin bridge Quarterly Strategic supply review Review: Supplier negotiations Alternative sources Co-man capacity Contract performance Risk register Savings pipeline --- 13. PRIORITY MATRIX If I were taking over this project tomorrow, I would prioritize it in this order: 🔴 Priority 1 — SKU/channel cost transparency You cannot optimize what you cannot see. 🔴 Priority 2 — Protein sourcing This is currently the largest identified cost inflation driver. 🔴 Priority 3 — Supplier competition Qualify alternatives before negotiating aggressively with incumbents. 🔴 Priority 4 — Co-manufacturing economics Audit conversion cost, yields, batch sizes and changeovers. 🟠 Priority 5 — Pricing architecture Recover part of the inflation rather than absorbing everything. 🟠 Priority 6 — SKU rationalization Concentrate inventory and marketing on economically attractive products. 🟠 Priority 7 — Amazon/Shopify contribution economics Revenue is not equally profitable across channels. 🟡 Priority 8 — Inventory optimization Release working capital without compromising availability. 🟡 Priority 9 — Backup co-manufacturer Reduce the single-manufacturer dependency. 🟡 Priority 10 — Technology Automate only after the process and metrics are clearly defined. --- The strategic objective The transformation should ultimately look like this: TODAY $5.8M revenue → 41% gross margin → 4 protein suppliers → 1 co-man → 22 SKUs → rising ingredient costs → costs largely absorbed → declining profitability 12-MONTH TARGET STATE $5.8M+ revenue → ~52% gross margin → competitively sourced proteins → dual-source coverage for critical ingredients → qualified backup manufacturing capacity → SKU-level profitability management → disciplined pricing architecture → optimized inventory → channel-specific contribution economics → formal S&OP → measurable supply-chain risk controls The most important mindset change is this: > Supply chain should stop being treated as a cost center that absorbs inflation and become a margin-management function that actively protects profitability. For a $5.8M brand with only 22 SKUs, you are small enough to make these changes relatively quickly, but large enough that even 1 percentage point of gross-margin improvement represents about $58,000 of annual gross profit at the current revenue level. Recovering 11 points therefore represents roughly $638,000 of annual gross-profit improvement, before considering any revenue growth.